CHIEF DATA OFFICER JOB DESCRIPTION

A Chief Data Officer owns something most financial institutions cannot afford to get wrong: the integrity of data flowing through regulatory reporting, client servicing, and investment operations simultaneously. In buy-side asset management and commercial banking, that ownership extends across firmwide governance frameworks, data lineage documentation, and compliance with securities and derivatives reporting standards. None of those outcomes happen by accident. This role carries executive accountability for the policies, platforms, and people that keep enterprise data accurate, available, and audit-ready.

As the Chief Data Officer, you are accountable for defining and executing the firm's end-to-end data strategy, ensuring that information used for client reporting, regulatory submissions, and business development meets the highest standards of quality, governance, and security. You operate at a senior executive level, partnering directly with the CIO, CFO, and business unit heads across global markets to align data infrastructure with strategic and compliance objectives.

Career Impact: Mastery of firmwide data governance in a regulated financial environment, spanning securities, derivatives, and global distribution functions, is one of the most defensible and senior-valued competencies a data executive can carry in asset management or banking.

Business Impact: Portfolio managers, compliance officers, and client service teams depend on the accuracy of data this role governs; errors in that data pipeline translate directly into regulatory exposure and client attrition.

Growth Opportunity: The scope of this seat, from data quality controls and metadata standards to AI/ML roadmap ownership, positions a CDO to step into a Group CTO or enterprise transformation role as the next career move.

• Define and own the firmwide data governance framework, including policies for data quality, lineage, access, and regulatory compliance.
• Lead cross-functional data governance councils spanning finance, treasury, legal, and technology to drive policy adoption and adherence.
• Oversee data quality controls across the enterprise, ensuring timely identification and remediation of issues before they reach downstream consumers.
• Partner with business development and client service leaders to design data delivery capabilities that support new business development globally.
• Direct the sourcing, integrity, and lifecycle management of data used in regulatory submissions, client reporting, and investment operations.
• Develop and maintain metadata standards, critical data element definitions, and master data management frameworks across business lines.
• Manage and grow a global data, analytics, and data engineering team, including hiring, performance, and budget accountability.
• Collaborate with the Chief Information Security Officer to enforce data protection controls aligned with regulatory and legal requirements.

• Bachelor's degree in Finance, Computer Science, Information Systems, Economics, or equivalent work experience.
• 10 or more years of data management or financial services operations experience, with at least 5 years in a senior data leadership role.
• Demonstrated expertise in data governance frameworks, data quality management, and enterprise metadata standards within a regulated financial environment.
• Proven ability to lead and influence cross-functional teams across technology, compliance, legal, and business development functions.
• Deep understanding of financial instruments, including securities, derivatives, and cash management products and their data requirements.
• Experience developing and enforcing data policies aligned with firmwide regulatory and legal reporting obligations.
• Strong executive communication skills with a demonstrated ability to translate complex data concepts for senior business and board-level stakeholders.
• Proven track record of building and managing high-performing, distributed data teams across multiple regions or business lines.

• CFA designation or graduate-level degree in Finance, Economics, or a quantitative discipline.
• Experience with buy-side asset management distribution systems, including familiarity with platforms used in client reporting and new business development.
• Demonstrated experience implementing data quality tooling or governance platforms in a financial services context.
• Prior exposure to firmwide data lake architecture or enterprise data migration programs in a banking or investment management environment.

• Data quality issue resolution rate, measuring the percentage of identified issues remediated within agreed SLA windows.
• Regulatory data accuracy score, tracking error rates in data submitted for securities and derivatives reporting obligations.
• Governance policy adoption rate, measured as the percentage of business lines operating under the approved data management framework.
• Data lineage coverage ratio, reflecting the proportion of critical data elements with documented and validated lineage paths.
• Time to onboard new data sources, measuring operational efficiency of the data intake and integration pipeline.
• Typical tools: data governance platforms (commonly Collibra or Informatica); BI and reporting environments (commonly Power BI or Tableau).

• Base Salary Range: $280,000 to $380,000 annually, depending on firm size and scope
• Bonus: Annual performance bonus of 30% to 60% of base salary, tied to firm and individual objectives
• Equity: Deferred compensation or equity participation common at Director level and above
• Health Benefits: Comprehensive medical, dental, and vision coverage for employee and dependents
• PTO: 20 to 25 days annually, plus standard bank holidays
• Common Perks: Executive development programs, tuition reimbursement, and commuter or travel allowances

Figures are estimates based on general US market benchmarks and may be outdated. Adjust based on location, company size, and seniority level.

Background verification, including credit history review where permitted by law, is a condition of employment for this position given its access to sensitive financial data and systems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, and local law. Reasonable accommodations are available to individuals with disabilities throughout the hiring process and in performing essential job functions. Candidates must be authorized to work in the United States.

The Chief Data Officer owns the design, development, and maintenance of secure data warehouses and business intelligence systems that deliver analytical products to internal staff, agency partners, and the public. Reporting to senior leadership and collaborating with internal and external partners, this role ensures high-quality data output, governance compliance, and the ongoing advancement of enterprise data programs.

Key Responsibilities

• Oversee the design, development, and maintenance of data warehouses, data stores, and business intelligence systems.
• Manage internal and vendor technical staff for assigned projects to ensure quality oversight and on-time delivery.
• Develop and review data management plans, architecture plans, data transfer plans, and data security and privacy plans, including event monitoring and auditing guidelines.
• Develop and review standard operating procedures to meet high standards for data organisation, quality, and security.
• Oversee the delivery of business intelligence and analytical products to internal staff, agency partners, system stakeholders, and the public.
• Assist in further developing enterprise data programs and data governance strategies.
• Develop and maintain productive business relationships with internal and external partners.
• Work with team members and partners to build communities of practice around data.
• Deliver consistent and reliable processes and high-quality output.

Required Qualifications

• 3–5 years of experience leading technical teams to stand up and manage safe, secure, and reliable data architectures and to organise and process large quantities of data for analysis.
• Experience working with business stakeholders to implement new data standards, technologies, and systems that meet business needs.
• Proven track record of delivering high-quality data products to customers on time and on budget.
• Experience developing standard operating procedures and comprehensive data management documentation that meet technical and regulatory requirements.
• Experience with the AWS stack.
• Proficiency with GitHub and version control systems.
• Experience with a team software development process, including design, testing, coding, and peer reviews.
• Experience with continuous integration and continuous development (CI/CD) practices.
• Experience in a government setting with demonstrated interest in public policy or administration.
• Experience using data to improve operational efficiency, service delivery, and policy evaluation.
• Experience with statistical strategies to anonymise data for public consumption, such as differential privacy.

Embedded within senior information services leadership, the Chief Data Officer develops a prioritised multi-year roadmap to build an integrated, cloud-first enterprise data platform delivering advanced analytics solutions across healthcare and technology. Working closely with engineering, data science, and healthcare analytics teams, this role aligns cross-organisational initiatives, drives data quality and security enterprise-wide, and attracts world-class talent to advance the organisation's mission.

Key Deliverables

• Develop a prioritised multi-year roadmap to build an integrated, automated, centralised, governed, and reliable cloud-first enterprise data platform that delivers transformative, advanced analytics solutions and products.
• Determine the investments necessary in terms of people and technology to achieve these objectives.
• Align existing cross-organisational teams and initiatives under an innovative, common vision and approach.
• Define and implement policies, processes, and procedures for the governance and management of data.
• Build and maintain strategic partnerships with external partners to advance capabilities and leadership position in healthcare and technology industries.
• Remain abreast of technology trends and advancements, including emerging trends such as IoT, remote care delivery, and real-time analytics, to assess strategic opportunities.
• Participate in strategic planning and development of information services objectives in conjunction with other senior leaders.
• Anticipate changing demands from the organisation and business environment, and creatively realign data and analytics objectives as needed.
• Attract, retain, and develop world-class engineering, data science, and healthcare analytics talent.
• Promote and foster an organisational culture that is innovative, agile, flexible, and aligned to the mission and values of the organisation.
• Identify and execute high-priority strategies to meet the data and information needs of executives and managers.
• Ensure data quality and security across the enterprise, including external data.
• Manage performance with respect to budget, objectives, and customer expectations.
• Develop and provide guidance for negotiations with preferred information technology vendor contracts and manage key vendor and partner relationships.

Qualifications & Experience

• A master's degree, MBA, or PhD in an analytical field is strongly preferred.
• Minimum of 10 years of information services leadership experience and 15 years of total relevant experience.
• Experience leading the creation and operation of machine learning and AI models, leveraging advanced models and tools to consume big data.
• Demonstrated ability to build modern, big data and analytics cloud-based platforms, tools, and services.
• Experience creating and successfully executing strategic plans for highly complex issues.
• Experience standardising complex and disparate analytics and data platforms, including methodologies related to data governance, security, compliance, and systems lifecycle management.
• Experience in change management in complex systems.
• Understanding and experience with modern, cloud-based, big data, and analytics technologies and tools.
• Ability to manage high-performance engineering, data, and analytics teams.
• Demonstrated ability to effectively manage data analytics applications and development activities in a large and complex organisation.
• Ability to develop and implement strategic initiatives with an emphasis on deploying solutions that provide business value.
• Strong knowledge of current best practices in data and analytics management, implementation, and risk mitigation.
• Proven ability to interact, influence, and communicate at all levels of an organisation.
• Strong organisational, interpersonal, and communication skills with the ability to manage shifting priorities.

Reporting to the CIO, the Chief Data Officer leads the development and deployment of the enterprise's data and analytics platform, including research into new data products and services to expand markets and grow revenue. Partnering with the chief information security officer, data protection officer, and the data governance council, this role ensures financial reporting integrity, information asset protection, and the ongoing advancement of master data and data quality monitoring practices.

Core Functions

• Develop the data and analytics strategy, and lead the creation and ongoing relevance of the firm's data and analytics strategy in collaboration with the CIO.
• Work with the CIO in the development and deployment of the enterprise's data and analytics platform.
• Lead research, strategy creation, and development of new data products or services to expand markets, monetise data, and grow company revenue.
• Foster the creation of a data-driven culture, related competencies, and data literacy across the enterprise.
• Identify new kinds, types, and sources of data to enable business innovation throughout the organisation.
• Ensure that the data used for financial reporting and to support legal requirements is valid, reliable, traceable, timely, available, secure, and consistent.
• Collaborate with the chief information security officer and data protection officer to create policies and controls for the appropriate protection of information assets.
• Organise and chair the data governance council to provide executive sponsorship for and oversight of governance policy creation and compliance.
• Define, manage, and ensure an adequate information trust model, controls for master data and metadata management, including reference data.
• Measure master data and reference data for compliance with policy, standards, and conceptual models.
• Ensure the deployment and management of data quality monitoring practices.

Skills & Qualifications

• 2 or more years of experience in a data analytics leadership role.
• 5 or more years of progressive leadership experience in leading cross-functional teams and enterprise-wide programmes, operating and influencing effectively across the organisation.
• Experience in integrating complex, cross-corporate processes and information strategies, and designing strategic metrics and scorecards.
• Experience in strategic technology planning and execution, and policy development and maintenance.
• Excellent analytical, strategic conceptual thinking, strategic planning, and execution skills.

Sitting at the intersection of data engineering and AI/ML strategy, the Chief Data Officer leads global data, analytics, machine learning, and insight delivery capabilities while reporting to the Group Chief Technology Officer as part of company-wide leadership. Operating across engineering, product, and senior stakeholder teams, this role shapes a data and AI culture, selects and implements appropriate tools and technologies, and ensures data assets deliver meaningful impact for customers and colleagues.

Primary Duties

• Bring analytics, data, and AI to the centre of the company's strategy.
• Report into the Group Chief Technology Officer as part of companywide leadership.
• Provide and assist with strategic insight and delivery for in-market teams.
• Lead data engineering, machine learning, and insight delivery capabilities.
• Hold hiring and budgetary responsibility for a global data, analytics, and data science team.
• Be responsible for evolving and nurturing a data and AI culture.
• Ensure that data assets have meaningful impact on customers and colleagues.
• Help to define the strategy of the business using experience and strategic insight.
• Use insight to ensure product teams create the right products for customers.
• Deliver business intelligence and AI/ML tools for the company.
• Build strong relationships with the senior team, stakeholders, and internal functions.
• Select and implement appropriate tools and technologies.

Experience & Qualifications

• Experience leading global data, analytics, and AI/ML teams.
• Technical background in data engineering, data science, or business intelligence.
• Experience in digital or web companies.
• Familiarity with Lean Startup methods and techniques such as Build Measure Learn.
• Hands-on delivery experience.
• Strong and demonstrable commerciality and ability to influence both technical and business people.
• Ability to translate business needs into data, analytics, and AI solutions.
• Ability to understand customers and how new products can be created or enhanced by AI/ML.
• Ability to lead an exceptional team.

A key member of the executive leadership team, the Chief Data Officer builds an end-to-end scalable data capability supporting organisational growth and a global digital product strategy, working closely with the CPO and CTO. Collaborating across engineering, product, and vendor teams, this role drives data quality, resilience, and governance enterprise-wide while delivering high-impact dashboards, data pipelines, and data models that enable rapid experimentation and data-informed decisions.

Duties

• Build an end-to-end scalable data capability to support organisational growth and enable the product strategy.
• Create growth aligned to the product strategy, working closely with the CPO and CTO.
• Build and grow a data-driven culture across the whole organisation.
• Ensure systems and software are resilient and embedded into operations.
• Keep data secure and aligned to data governance policies.
• Build, inspire, and lead a high-performing, diverse team.
• Set the technical direction and strategy for the group, including identifying opportunities to improve the overall quality of data and the ease with which it can be used to make decisions, as well as incorporating best practices for data in customer-facing digital product development at a global scale.
• Be aware of external market trends and best practices to continuously drive personal and team improvements.
• Lead engineering teams to create software and services that support the development of data products to a high quality, embracing platform engineering services and the use of a "Golden Path for Data".
• Actively engage with key vendors to ensure procurement of the right technology and best use of it.
• Ensure that data products and services are operationally resilient, performant, and secure, with high levels of data fidelity, data privacy, and system reliability, enabling rapid experimentation and data-informed decisions.
• Drive the design, building, and launching of new data models and data pipelines in production.
• Manage the delivery of high-impact dashboards and data visualisations.
• Drive data quality across the organisation through effective data strategy and governance.

Background & Experience

• Experience in leading big data modernisation at scale, along with machine learning technologies.
• Experience in product development life cycles and working in a lean-agile way.
• Experience working with a variety of large-scale customer data sets such as transactional and web analytics data.
• Experience building and leading diverse teams with an inclusive culture.
• Experience building a large engineering team over multiple locations for a sustained period, with excellent leadership across technology domains including development, quality, support, architecture, and integration.
• Ability to think and act strategically, as well as recognise when to act tactically and operationally.
• A track record of delivering well-engineered solutions in a global digital product environment.
• Exceptional analytical skills and a track record of using data analysis to successfully deliver value and trigger change.
• Ability to tackle multiple goals simultaneously.
• Inspirational people leadership with the ability to engage and grow talent.
• Ability to influence others, including peers, team, and executives, and to build collaborative, productive relationships.
• Excellent presentation and communication skills, particularly strong in explaining and presenting complex data and analytical findings to non-technical audiences.

The business outcome of data-informed decision-making across CU Boulder depends on the Chief Data Officer, who improves project management, develops service roadmaps, and leads technology stack enhancements for the Office of Data Analytics. Based within CU Boulder's Data Analytics Leadership Team and reporting to the CDO, this role strengthens university-wide collaborations, coordinates data literacy initiatives, and ensures policies and processes align with data governance and security standards.

Accountabilities

• Improve project management efforts to ensure that projects are properly scoped and expectations are properly set.
• Collaborate with campus communicators to enhance the ODA website.
• Develop and implement a service roadmap to define scope and timelines.
• Create a front door for ODA data requests and discuss those processes with campus leaders.
• Coordinate data literacy and training tools to enable a distributed access, distributed accountability governance model.
• Create feedback loops to scale knowledge and learn from previous efforts.
• Lead the effort to enhance the technology stack for improved performance and collaboration.
• Enhance organisational stability with policies, processes, and documentation.
• Develop a roadmap for strategic projects and coordinate internal resources to build out timelines, communications plans, and retrospectives.
• Work with the organisation to define and streamline processes through the refinement of roles and procedures, the use and implementation of technology, and analysis of organisational structure and workflow.
• Ensure that policies, procedures, and systems are aligned with standard processes in data governance and security.
• Anticipate and lead change with the understanding, perspectives, and tools to make change flawless and effortless.
• Establish goals, objectives, policies, procedures, and action plans consistent with the university's strategic imperatives.
• Be a key campus connector and environmental scanner to help prioritise key efforts, collect and aggregate opportunities for greater partnerships, efficiencies, or technical innovations, and communicate results and follow up with partners to solicit feedback.
• Strengthen collaborations and relationships across the university, and represent the organisation on selected campus-wide standing and ad-hoc committees.

Education & Experience

• Master's degree or higher with background and experience using quantitative skills and research methods, such as statistics, psychology, sociology, mathematics, computer science, or economics, to answer important business questions.
• PhD in statistics, psychology, applied math, sociology, mathematics, computer science, decision science, education policy, economics, or a similar field preferred.
• Demonstrated experience working with quantitative data to solve business problems or answer research questions.
• Experience coordinating sophisticated projects in a large, decentralised organisation.
• Experience working with technologists, developers, analysts, and data scientists.
• Knowledge or experience working with data scientists, BI developers, analysts, or software developers.
• Knowledge of or experience with data governance, data security, or data life cycle processes.
• Experience working with agile project management tools, specifically the Atlassian Suite including Jira and Confluence.
• Experience working with statistical programming or data science languages such as SAS, STATA, SPSS, R, Python, or Julia.
• Demonstrated ability to convert strategic goals into tactical projects, building support and coalitions around data use in higher education.
• Ability to make personal and professional connections and help build campus-wide trust in a centralised analytics organisation.
• Ability to connect with disparate partners to find ways to solve sophisticated business problems.
• Superb listening and influencing skills with experience advancing ideas from plan to results using processes that ensure input and feedback from constituents.
• Excellent writing and communication skills with the ability to prioritise work and handle multiple projects and internal customers.

As the Chief Data Officer, this role builds out a cloud-based data warehouse with improved analytics, AI, and ML capabilities, while overseeing a regionally dispersed global team that executes the data roadmap on time and to a high standard. The global engineering organisation relies on this work to drive transformational change through technology innovation, improve data ingestion speed and quality, and deliver executive presentations on the company's data roadmap and future growth.

Operational Focus

• Collaborate with leadership and global engineering to understand the current data landscape and build out a data strategy that includes architecting a cloud-based warehouse with improved data analytics, AI, and ML capabilities.
• Oversee the data warehouse, data analytics, AI, and ML functions from a technical perspective, with accountability for recommending innovative technology to improve performance, scalability, and maintainability while also driving roadmap execution.
• Retain, hire, and grow a regionally dispersed global team.
• Implement engineering best-practice processes and metrics to improve efficiency and effectiveness while providing visibility to internal stakeholders.
• Provide estimates on the time required to implement roadmap capabilities.
• Engage closely with engineering to help determine the best user experience, technical implementation methods, and a reasonable implementation schedule.
• Seek opportunities to improve the speed of data ingestion and data quality via automation and machine learning.
• Resolve roadblocks and escalate to management when appropriate.
• Deliver executive presentations at investor meetings about the future roadmap and growth of the company.

Technical Qualifications

• Bachelor's degree required, preferably in Statistics, Math, Economics, Computer Science, or Business.
• Experience with location-based services for mobile apps and data preferred.
• Experience with LTV and monetisation preferred.
• Experience driving transformational change through technology innovation, including recommendation of third-party products and their integration into the data platform.
• Familiarity with Python for statistical analysis and modelling.
• Familiarity with machine learning methods such as unsupervised learning with K-Means.
• Ability to build out a cloud-based data warehouse with AWS.
• Ability to conduct a current-state analysis, then research, evaluate, recommend, and implement technologies spanning data warehousing, BI, AI, and ML.
• Strong data leadership spanning data warehouse architecture, data analytics, AI, ML, and data governance for mobile apps, including social media AI.
• Track record of creating a large-scale scalable data platform in data-intensive environments and determining third-party technologies to integrate into the technology stack.
• Strong communication skills with ability to present data roadmap and technologies to a broad range of audiences.
• Ability to work across departments to drive action and change.
• Strong focus on the customer and a clear understanding of customer problems being solved through technology.

Chief Data Officer delivers results from large healthcare databases, leading a data platform that ingests, transforms, and harmonises data to serve business unit use cases while supporting business development activities and mentoring a team of data engineers and analysts. Success in the position means demonstrating over 10 years of senior data science leadership, a track record of building and managing data science functions from the ground up, and the ability to communicate complex analytical findings clearly to both technical and non-technical audiences.

Role Responsibilities

• Develop and implement a data platform to ingest, transform, and harmonise data to serve business unit prioritised use cases and a democratised data environment using data services and business intelligence toolsets.
• Establish scalable and sustainable data and analytics toolsets to accelerate time to value.
• Attract and retain the best talent across data science, artificial intelligence, machine learning, and data management.
• Take full advantage of commercially available technologies to promote a buy-versus-build data science function.
• Partner with business development leaders to understand their data and analytics needs and select and achieve initiatives.
• Act as the front door to the organisation regarding data management requests from customers, partners, and stakeholders.
• Develop a programme that allows the data science function to filter out requests that can be fulfilled by data science rather than through custom software development.
• Set the direction and development of data science and machine learning algorithms, structure, tools, and processes to obtain significant improvements in data accuracy levels.
• Direct a data science team to support the breadth of data needs.
• Work within the team and across products on the science, design, execution, and reporting of projects associated with data and data science.
• Engage the data team to enhance their intellectual curiosity and technical skills.
• Serve as a member of the leadership council providing thought leadership towards mission, strategy, and objectives.
• Study data from multiple angles, determine what the data means, and recommend the best possible way to analyse it.
• Identify trends and patterns, determine what is noise versus good data, and convey that understanding to others.
• Develop plans for research and analytics, including algorithm selection, advanced probability and statistics, predictive modelling, machine learning, relational database design, and selection of statistical methods.

Knowledge Skills & Abilities

• Master's degree in Computer Science or a combination of education and experience demonstrating the necessary skills and abilities.
• 10 or more years in a data science or data-related role.
• 10 or more years of experience analysing large datasets.
• 10 or more years as a senior leader with experience in building and managing a team.
• Experience with deploying commercially available data science toolsets.
• Experience connecting large disparate data sources in a way that promotes flexibility and scalability.
• Experience with leading data quality initiatives in a software development environment.
• Successful track record of building and leading a data science function from the ground up.
• Knowledge of Medicare, Medicaid, or provider data preferred.
• Deep digital, data, and analytics expertise in growing a business.
• Excellent ability to communicate complex technical material both orally and in writing, including the ability to explain complex models and analysis in layman's terms.

The Chief Data Officer produces a unified vision for how data and information will be managed and used across the Global Business Development Organisation, covering new business development, client servicing, and global regulatory requirements. The work directly supports a new Information Centre of Excellence that brings together data globally, enabling greater transparency, flexibility, and access for internal groups and external clients.

Strategic Responsibilities

• Create a vision for how all aspects of data and information will be managed and used by the Client Group globally for new business development and client servicing purposes.
• Serve as a change agent charged with re-engineering how the Global Business Development Organisation and Client Group more broadly uses data and information.
• Direct and manage the sourcing, integrity, governance, organisation, and management of data and information across internal and external systems.
• Set policies and procedures for how the Global Business Development Organisation sources and maintains all information used in new business development globally and in servicing clients, and oversee the execution of those processes throughout the Client Group.
• Create greater accessibility to data and information through the creation of front-end tools such as dashboards, output templates, and proactive change notifications.
• Partner with Client Service and Client Service Response to define, develop, and manage a new intake process for new client servicing requests, and determine how best to meet client requests.
• Oversee the various workstreams to seamlessly bring together disparate systems and teams.

Professional Experience

• Bachelor's degree, preferably in Finance, Economics, or Information Systems.
• CFA or MBA desired.
• 15 or more years of experience in the financial services industry.
• Programming experience in Power BI and Python a plus.
• Familiarity with systems such as Morningstar Direct, Broadridge, Bloomberg, and eVestment.
• Strong understanding of the buy-side asset management and distribution business.
• Ability to set policies for data usage across the organisation and move cross-functional groups in a unified direction.
• Ability to work with all levels across the organisation and across business groups, including Technology, Sales, Legal, and Client Service.
• Capable of conveying the broad, high-level vision to internal stakeholders as well as communicating tangible and specific objectives and requirements clearly and with precision to a broad range of audiences.
• Results-driven with the ability to work on multiple simultaneous projects and meet tight deadlines, with a focus on enhancing internal operational efficiencies, reducing costs, improving risk management, and enabling the firm to support new strategies, funds, and structures.

Embedded within the enterprise IT and analytics leadership team, the Chief Data Officer develops the full organisational vision and underlying strategy for enterprise data and analytics, encompassing architecture, performance, cybersecurity, and regulatory alignment for a firm with a revenue stream of $15B or larger. Working closely with business partners, vendors, and stakeholders, this role advances competitiveness, customer onboarding, revenue growth, and expanded market share across the organisation.

Ownership Areas

• Lead all enterprise data and analytics strategy, implementation, and development across the organisation, reporting to the CIO.
• Design, develop, articulate, and lead the organisational vision and all underlying strategy for enterprise data and analytics.
• Lead the evolution and transformation focused on stakeholders and customers, maximising competitiveness, customer onboarding, the customer experience, growth and expansion, increased revenue and profitability, and increased market share.
• Own and lead data and analytics transformation, including vision, strategy, architecture, performance, cybersecurity and controls, skills analysis, toolsets, and data and analytics compliance and regulatory alignment.
• Create, foster, and lead a culture of continuous learning, continuous improvement, and continuous innovation.
• Serve as the face and voice of benefits and improved applications and systems across the organisation, enhancing performance, stability, relationship building, and business expansion.
• Create effective and impactful technology and business plans while working with business partners, vendors, and stakeholders to develop and lead the success of the organisation.
• Conduct consistent and ongoing research on technology trends, and continuously introduce advanced technology strategies, products, services, and offerings to lead a world-class data and analytics enterprise function.
• Create, oversee, and enforce policy, process, standards, best practices, and guidelines on a continuous basis.

Position Requirements

• Must have completed an undergraduate degree.
• Strong preference for a master's degree or MBA relevant to IT data and analytics.
• Minimum of 10 years in the enterprise data and analytics space, progressing from data and analytics engineering, development, and architecture roles.
• At least 5 years of direct management of a corporate enterprise data and analytics department.
• Experience running a world-class IT data and analytics function for a firm with a revenue stream of $15B or larger.
• Experience transforming an existing, less-optimised enterprise data and analytics environment.
• Strength in business intelligence, reporting, and cloud experience.
• Excellent communication, interpersonal, presentation, persuasion, influencing, and negotiation skills.

Reporting to senior IT and business leadership, the Chief Data Officer oversees data quality, availability, interoperability, and security enterprise-wide while developing the data management framework that aligns with the organisation's data strategy and drives priorities for data management and optimisation. Partnering with business and IT leaders, vendors, and client engagement teams, this role delivers cross-functional governance, data warehouse solutions, and UI tools that produce measurable business outcomes through analytics and integration.

Executive Functions

• Develop the data management framework to align to the organisation's data strategy and drive the organisation's priorities for data management and optimisation.
• Collaborate with leadership across the business and IT organisations to implement data delivery outcomes, align and translate the business strategy into the data strategy, partner on data issues and infrastructure needs, and identify gaps and drive solutions that ensure an integrated approach for data collection and business analysis.
• Lead cross-functional governance and enterprise information policies surrounding data integrity, including access, collection, accuracy, maintenance, security, and privacy of data.
• Lead and deliver data-related activities and projects to deliver business outcomes, including data warehouse, big data, integration, and UI tools to support data science and access.
• Oversee the creation of data models that integrate and organise disparate data systems in preparation for analytics, and lead ongoing data enhancements.
• Collaborate with clients on integration, roadmap decisions, and capabilities, and partner with vendors and client engagement contracts for contingent labour and IT vendor contracts.

Required Qualifications

• Bachelor's degree in Computer Science, IT, MIS, or a related area of study.
• 15 years of relevant work experience in IT delivery, business intelligence, data integration, data warehousing, or a related area, including a minimum of 8 years of experience in IT.
• 9 years of leadership and people management experience.
• Proven experience inspiring cross-functional teams to meet business objectives with outstanding results.
• Demonstrated experience in a director or management-level IT strategy and planning position with responsibility for scope of complexity, organisation-wide reach, budgets, subordinate reports, and meeting strategic goals.
• Demonstrated ability to distil complex concepts or situations into concise and compelling communications.
• Ability to establish trust, respect, and credibility and form close working relationships with leadership at all levels, especially business and IT senior leaders.
• Ability to effectively negotiate with and influence clients and large vendor partners.

Sitting at the intersection of enterprise data strategy and business intelligence, the Chief Data Officer advances Sheetz's data and information strategy by leading a centralised Business Intelligence department that provides enterprise-wide data science and BI services across all business units. Operating across IT, Business Units, and decentralised analytics teams, this role governs data access and visualisation policies, develops future analytical leaders, and drives deployment of data systems aligned to Sheetz' corporate strategy.

Strategic Initiatives

• Design, plan, administer, communicate, champion, and evangelise a strategy to improve the effective use of data in organisational planning and decision-making.
• Lead a centralised Business Intelligence department tasked with providing enterprise-wide data science and business intelligence services, as well as oversight and training to decentralised, embedded data scientists and analysts throughout the business.
• Develop and manage the annual budget for the Business Intelligence department.
• Develop and mentor future data-driven, analytical leaders and strategists across the organisation.
• Engage in regular dialogue with Business Unit leaders to gain an understanding of data and analytics challenges and opportunities from each unit.
• Partner with Business Units to design data analytics projects and develop specific analytical and data science capabilities to achieve organisational goals and operational improvements while enabling data-driven decision-making.
• Identify and standardise the use and governance of data, and create policies and procedures for the access, analysis, and visualisation of data and associated business insights.
• Ensure that data users and consumers use provisioned data responsibly through data governance and compliance initiatives.
• Drive the strategy, development, and deployment of the organisation's data systems as well as a roadmap for its future development that aligns with corporate strategy and business needs.

Qualifications & Experience

• Minimum 7 years of demonstrated experience in data management disciplines, including data integration, modelling, optimisation, and data quality.
• Minimum 7 years of progressive leadership experience in leading cross-functional teams and enterprise-wide programmes, operating and influencing effectively across the organisation.
• Experience in integrating complex, inter-departmental processes and information strategies, and designing strategic metrics and scorecards.
• Experience running data analytics teams using the latest data mining, machine learning, and artificial intelligence techniques.
• Hands-on experience with implementing data management programmes preferred.
• Advanced analytical and problem-solving abilities.
• Excellent verbal communication skills, including the ability to explain digital concepts and technologies to business leaders, explain business concepts to technologists, and sell ideas and processes internally at all levels.
• Advanced knowledge and practical application of advanced statistical analysis and mathematical modelling concepts and principles.

A key member of the Financial Accounting, Infrastructure and Reporting team, the Chief Data Officer refines data quality oversight across Corporate Finance and Treasury/CIO, partnering with business stakeholders and the central CDO team to resolve data sourcing gaps and quality issues linked to all necessary metadata. Collaborating across technology, business, and downstream consumer teams, this role advances firmwide data governance initiatives, supports the corporate data lake, and communicates data governance policy updates across the organisation.

Day-to-Day Responsibilities

• Partner with business stakeholders and the central CDO team to support the delivery of data quality oversight and resolution of data quality issues and data sourcing gaps, ensuring issues are clearly understood for prioritisation and resolution and linked to all necessary metadata.
• Ensure data integrity by identifying and overseeing the implementation of data quality controls.
• Drive consistency and accuracy for data quality issues through established processes for ensuring a standard approach to reporting and remediating issues.
• Support the CDO leadership team in preparing for finance forums through the creation of metrics communicating project status, rollout of CDO strategy, and overall data health.
• Support data requirements and operational processes for the corporate data lake.
• Liaise with downstream consumers to collate data requirements for successive migration phases.
• Partner with technology and business in remediating data quality issues and implement preventative controls to identify data quality issues before they impact consumers.
• Participate in firmwide data governance initiatives.
• Document lineage and assess authorisation of data flowing into systems and user tools.
• Participate in firmwide forums to agree on metadata such as definitions and valid values of critical data elements.
• Communicate relevant data governance policy and technology updates to the business.

Skills & Qualifications

• 5 or more years of data management or relevant operations and finance experience.
• Proficiency with Excel and experience with Collibra or data quality tracking tools are desirable.
• Subject matter expertise in securities, derivatives, and cash management.
• Strong finance technical skills and solid understanding of finance processes, infrastructure, and systems.
• Ability to manage multiple priorities and thrive in a varied, fast-paced environment.
• Strong interpersonal skills with the ability to communicate effectively, drive consensus, and influence relationships at all levels.
• Proven ability to partner and lead across lines of business, functions, and regions.
• Strong attention to detail with strong analytical and problem-solving skills and sound judgment.

Sound governance adherence and data life-cycle management across the bank depend on the Chief Data Officer, who oversees large technical teams spanning data governance, data science, and data architecture while designing and implementing data policies, strategies, and systems that comply with regulations and procedures. Based within senior banking leadership, this role advances the identification of new products and market opportunities through effective data solutions, manages costs, and communicates the value of data collection to internal and external stakeholders.

Key Responsibilities

• Lead, motivate, and manage large technical teams, including data governance, data science, and data architecture teams.
• Be responsible for governance adherence and data life-cycle management across the bank.
• Design and implement data policies, strategies, and systems that meet business needs and comply with regulations and procedures.
• Formulate and implement effective data solutions and models to enable identification of new products and market opportunities to drive innovation.
• Manage costs and increase revenue derived from improving business processes.
• Communicate effectively with internal and external stakeholders on the status, value, and importance of data collection.

Experience & Qualifications

• Bachelor's degree in Information Technology or a related field.
• Master's degree preferred.
• 10–15 years of experience in a senior-level data management role.
• At least 5 years in a senior management role.
• Experience in managing and utilising large volumes of data, data quality, data governance, data ETL, and data integration tools.
• Sound understanding of the master data management technology landscape, processes, and design principles.
• Knowledge of relevant applications, big data solutions, and tools.
• Strong leadership, communication, and project management skills.
• Good command of both spoken and written English and Chinese.