Job Summary: 

• Leads the delivery of the organization’s digital technology vision and strategy
• Ensure the technological and business resources are properly allocated and the processes are aligned with the business and mission to allow implementation without negative impact on day-to-day operations.
• Leads the strategy and vision for PPFA’s technology, incorporating Executive Leadership expertise and insight.
• Aligning the technology strategy and vision to the organization's goals and objectives.
• Works across the stakeholder universe to engage, excite and encourage “next generational” thinking in the future of work.
• Connects and unifies PPFA on managing, maintaining, securing, building and growing automation through digital and information technology and data to increase efficiency and effectiveness.
• Ensures that technological resources (staffing, equipment/software, funding, etc.) meet the organization's strategic priorities and infrastructure requirements.
• Generates roadmaps, budgets & timelines for investment and deployment of technological systems and services in collaboration with stakeholders.
• Leads robust and inclusive governance processes to determine and communicate priorities for investments in technologies.
• Advises Executive Leadership Team (ELT) members and Affiliate executive management on opportunities for technological advancement.
• Provides support for the delivery of technology programs to the Federation.
• Enables technology practices that adhere to regulatory and industry standards and processes, while also ensuring proper policies, processes, and procedures are in place.

Skills on Resume: 

• Strategic Vision and Leadership (Hard Skills)
• Resource Allocation and Alignment (Hard Skills)
• Stakeholder Engagement (Soft Skills)
• Technology Roadmapping (Hard Skills)
• Governance and Prioritization (Hard Skills)
• Executive Advisory (Soft Skills)
• Program Delivery Support (Hard Skills)
• Compliance and Standards Adherence (Hard Skills)

Job Summary: 

• Establishes an enterprise data governance roadmap including strategic priorities for data integrity, business intelligence, and privacy
• Create, maintain, and update policies and procedures for data management, governance, and analytics ensuring compliance with internal governance and external regulatory requirements
• Establish standards and protocols for effective data quality management across the enterprise
• Develops a data governance council and network of data stewards
• Responsible for defining and driving data analytics and intelligence opportunities for the organization
• Provides expertise and consults on all major data-related initiatives inclusive of personnel recruiting development and retention within the organization
• Partners closely with the organization’s IT leadership responsible for data storage, infrastructure, and security
• Owns creating an environment that democratizes data and information making it accessible across all lines of business
• Align data scientists, data analysts, data quality experts, data engineers, data architects, and data governance
• Alignment with the CIO on products and services and technical architectures that support data
• Support both the everyday needs of data processing, inquiry and reporting, and the more sophisticated and creative use of data to provide important business insights and useful general management information
• Manage key data science and data management vendor relationships

Skills on Resume: 

• Data Governance Strategy (Hard Skills)
• Policy and Procedure Development (Hard Skills)
• Data Quality Management (Hard Skills)
• Leadership and Collaboration (Soft Skills)
• Data Analytics and Intelligence (Hard Skills)
• Partnership with IT Leadership (Soft Skills)
• Data Democratization (Hard Skills)
• Team Alignment and Management (Soft Skills)

Job Summary: 

• Implement and enhance the KPMG CN data strategy and roadmap while providing operational oversight of the enterprise data program and the related development projects
• Chair and manage ongoing data governance council and working groups and to action/direct focus on issues that impact KPMG’s overall data supply chain.
• Establish and evolve a unified set of data policies integrating Metadata, DQ, Stewardship, Master and Reference data, Privacy and Protection components
• Advocate/evangelize for a data-driven organization through education and communication of the strategic value of data and its role as a business asset driving revenue, reducing cost and KPMG’s data risk profile.
• Design and implement an enterprise data governance operating model that includes data standards, roles and responsibilities
• Coordination and connectivity with service lines, decision rights, related processes and tools as well as success measurement.
• Build master and reference data management programs, establish enterprise customer master data, product master data, organization master data, personnel master data 
• Build KPMG China data quality control plan, carry out data quality monitoring and improve data quality.
• Comb the data assets classification based on the QRM & IT data classification policy.
• Work with ITS and others – agree on a roadmap to deliver a Data Platform for KPMG that allows Partners and Staff to leverage existing and 3rd party data sets in the delivery of services.
• Carry out KPMG China metadata management, build metadata management tools, collect metadata and conduct metadata kinship analysis.
• Educate a dispersed network of CN data owners and stewards – facilitate a federated model to be flexible and permit data assets to be shared and leveraged across the CN firm.

Skills on Resume: 

• Data Strategy and Roadmap Development (Hard Skills)
• Data Governance Leadership (Hard Skills)
• Data Policy Integration (Hard Skills)
• Data Advocacy and Evangelism (Soft Skills)
• Enterprise Data Governance Operating Models (Hard Skills)
• Master and Reference Data Management (Hard Skills)
• Data Quality Management (Hard Skills)
• Metadata Management (Hard Skills)

Job Summary: 

• Develops and implements data strategy and analytical methodologies to advance new solutions for addressing current and emerging tax compliance issues
• Support tax policy research, and provide insight and guidance on applying data-driven approaches for improving tax administration.
• Assists the IRS Commissioner and senior leadership in overseeing and performing critical strategic planning activities and functions.
• Identify emerging and cross-divisional initiatives, reviewing and validating appropriate measures and indicators
• Develop planning guidance for proposed and ongoing programs and agency initiatives.
• Partners with key IRS business executives to identify opportunities, develop hypotheses, and conduct research to address taxpayer non-compliance, enhance service delivery, and protect tax revenue.
• Oversees best practices in statistics, computer science, data science, economics, operations research, and social science.
• Oversees state-of-the-art data warehouse and computing environments developed to support advanced research and analytics.
• Serves as a trusted advisor to the IRS Commissioner and other IRS leaders, ensures leaders are informed on program and policy matters within his/her scope of responsibility
• Assists in developing policies that positively impact the IRS.
• Develops and implements IRS-wide policies, programs, and systems to meet the short-term and long-term challenges and needs of the agency.

Skills on Resume: 

• Data Strategy Development (Hard Skills)
• Tax Policy Research (Hard Skills)
• Strategic Planning (Hard Skills)
• Cross-Divisional Initiative Management (Hard Skills)
• Research and Hypothesis Development (Hard Skills)
• Expertise in Data Science and Analytics (Hard Skills)
• Data Warehouse Management (Hard Skills)
• Policy Development and Implementation (Hard Skills)

Job Summary: 

• Develop the Data Strategy, including the definitions, communication and delivery of S&P Global data strategy in support of the division's overall strategy and priorities.
• Define the strategy, develop a delivery roadmap, and provide the leadership guidance and direction necessary to successfully deliver the strategy.
• Collaborate with the S&P Global Ratings and Market Intelligence (MI) teams initially in support of their ongoing localization efforts as well as all divisions in support of their global businesses and as they relate to China.
• Partner with Business Stakeholders, to prioritize business strategies and data deliverables to ensure linkage to the SPGI data strategy.
• Partner with S&P Global’s Data Operations Team, to provide strategic guidance and input on how to best improve critical business processes
• Drive adoption of shared services provided by the Data Operations as a Service framework.
• Ensure that MI utilizes S&P Global’s common data services, processes and best practices, while also informing the S&P Global CDO strategy
• Ensure that S&P Global’s Data Strategy has the right share of voice from the Market Intelligence Division.
• Partner with the Deputy Chief Privacy Officer who works with the Chief Privacy Officer of S&P Global to develop and implement global programs and strategies 
• Ensure compliance with data protection and cyber-security requirements as they relate to privacy across divisions 
• Responsible for overall information security governance and data privacy management to ensure that S&P Global's data strategy and Data Operations comply with relevant regulations.
• Partner with the Data Operations to ensure data is available, accurate, timely and relevant
• Responsible for the definition of the data KPIs and ensuring their delivery, including for data supplied by third-party partners.

Skills on Resume: 

• Data Strategy Development (Hard Skills)
• Roadmap Definition and Leadership (Hard Skills)
• Stakeholder Collaboration and Prioritization (Soft Skills)
• Strategic Partnership with Data Operations (Soft Skills)
• Utilization of Common Data Services (Hard Skills)
• Data Privacy and Compliance (Hard Skills)
• Information Security Governance (Hard Skills)
• Data KPI Definition and Management (Hard Skills)

Job Summary: 

• Establish the Market Intelligence targets for client-reported errors, data timeliness and efficiency gains.
• Ensure that the data set harmonization and integration of legacy Cap IQ and SNL is complete and supports the Data Operations as a Service initiative.
• Drive the creation and execution of specific Data Projects, to facilitate the integration and improved efficiency of existing data sets, as well as the creation of new data sets.
• Communicate data trends and issues, by serving as the internal data ambassador and ensuring consistent communication across various internal user groups.
• Responsible for external data communications, meeting with clients periodically to listen to their needs and share new ideas and product enhancements.
• Build and manage a local data team that collaborates with global stakeholders
• Develop and manage the Data Operations budget, working closely with the COO, CIO and CFO as well as the global Leadership and Finance teams
• Develop and manage the operating budget for the Organization.
• Responsible for providing leadership guidance and direction around MI’s current and future data sets and capabilities.
• Plays a key role in defining the overall strategy, as well as the strategy for the commercialization of MI’s data offerings.
• Working closely with S&P Global’s CDO, contribute to the direction of S&P Global Data strategy with a focus on China, best practices, and global frameworks.
• Play a key role in evangelizing S&P Global’s Data Strategy and ensuring the success of the S&P Global Data Operations as a Service Initiative.
• Partner with the editorial council and divisional content, news and industry research teams on managing content risks from global and local publications

Skills on Resume: 

• Data Management and Integration (Hard Skills)
• Project Management (Hard Skills)
• Communication Skills (Soft Skills)
• Team Leadership (Soft Skills)
• Budget Management (Hard Skills)
• Data Strategy Development (Hard Skills)
• Strategic Leadership (Soft Skills)
• Stakeholder Engagement (Soft Skills)

Job Summary: 

• Providing a platform for data and driving growth while resolving the remaining technical and departmental friction points.
• Establish information asset management best practices (data management standardization, utilization, and quality)
• Drive development and implementation of foundational data tools (integrated client data)
• Develop data vision to enable critical day-to-day operations, providing service & meeting strategic goals
• Dynamically adjust vision and priorities as conditions or agency needs evolve
• Lead data governance systems/processes and define infrastructure and hardware system needs.
• Define and promote data policies and standards for data integrity, security, retention, etc.
• Drive selection of software tools and hardware including, owning decisions around software strategy and management
• Identify and resolve legacy problems to update compliance with and access to the organization’s data assets.
• Define, drive, and promote the importance of data and day-to-day use in decision-making
• Own internal/external communication around data initiatives, define how data is organized, where it lives, and how to access
• Guide the organization’s Quality team on the design and execution of evaluation strategies, social research, and program outcome management.

Skills on Resume: 

• Data Management and Standardization (Hard Skills)
• Development of Foundational Data Tools (Hard Skills)
• Strategic Data Vision (Hard Skills)
• Adaptability and Prioritization (Soft Skills)
• Data Governance Leadership (Hard Skills)
• Data Policy Development (Hard Skills)
• Software and Hardware Selection (Hard Skills)
• Communication and Stakeholder Management (Soft Skills)

Job Summary: 

• Provide data & technology leadership, guidance and delivery supporting Asia’s growth objectives.
• Setting the strategic rollout, delivery and operational management of modern data capabilities
• Ensure the data platform, pipelines and services are scalable, repeatable and secure serving multiple users and use cases within the organization.
• Define a vision for the organization’s overall research and evaluation agenda and ability to produce relevant, compelling information on the organization's services.
• Drive efforts to measure social impact on communities we serve and to recommend a course of action to ensure that impact is sustainable and scalable
• Drive and manage the design, implementation and oversight of research and evaluation processes
• Guide Quality Team on qualitative evaluation of programmatic impact through a variety of methods including surveys, focus groups, and interviews
• Develops new approaches and pilots, establishes governance structures, identifies potential risk, and develops mitigation strategies.
• Leads efforts to establish analytically driven centers of excellence frameworks and drives organizational change toward a data-driven and analytical IRS culture.
• Foster a strategic coordinated approach to multi-divisional domestic and international tax research issues.
• Stewardship for data as a strategic business asset, revenue driver and source of risk mitigation for the firm.
• Improve the understanding across the firm of the importance of data, and the requirements regarding client data and identify a series of monetization opportunities from this effort.
• Oversee the budget for managing resources, application platform licensing, & data procurement

Skills on Resume: 

• Data Leadership (Hard Skills)
• Strategic Planning (Hard Skills)
• Research and Evaluation (Hard Skills)
• Impact Measurement (Hard Skills)
• Quality Assurance (Hard Skills)
• Innovation and Risk Management (Hard Skills)
• Change Management (Soft Skills)
• Financial Management (Hard Skills)

Job Summary: 

• Responsible for operational oversight and management of the data platform providing thought leadership and direction for highly complex, multi-faceted data initiatives.
• Collaborate with System and Data Architects, translate complex functional and technical requirements into detailed architecture, design and high-performing capabilities with the Enterprise Data Lake
• Ensure the Asia Data Office integrates and aligns with Asia CIO’s Book of Work, Application Roadmap and Talent/Location Strategy 
• Ensure priorities are well understood and proper expectations are established with business stakeholders
• Design and execute the build-out of data patterns and services - both batch, real-time and complex event handling - leveraging open technologies and in support of Divisional requirements
• Build and manage a Global Data Operations team to support the data platform and ensure overall production data system health including software currency, platform resiliency, cloud infrastructure management (scale up/down) and expense & value monitoring
• Work with the Global Data Office and Asia Division’s Delivery Services to ensure timely delivery and constant communication of commitments meeting the expectations of stakeholders
• Effectively manage operational risk and change with a continuous focus on process improvements
• Work with market-level IT teams (Hong Kong, China, Japan, SE Asia) to enhance their data engineering capabilities leveraging the regional instance of the Enterprise Data Lake
• Provide thought leadership and collaborate closely with ETS on the advancement of Manulife’s Cloud infrastructure capabilities to support the data requirements
• Create efficiencies and accelerate the digital/agile transformation

Skills on Resume: 

• Data Platform Management (Hard Skills)
• Architectural Design (Hard Skills)
• Stakeholder Management (Soft Skills)
• Data Engineering (Hard Skills)
• Team Leadership (Soft Skills)
• Risk Management and Process Improvement (Soft Skills)
• Cloud Infrastructure (Hard Skills)
• Digital and Agile Transformation (Soft Skills)

Job Summary: 

• Provide guidance, thought leadership and coaching in the development of Data Integration, Business Intelligence & Dashboard reporting and implementation of Advanced Analytic capabilities
• Work closely with Asia Division & Group Functions’ Compliance, Information Security and Risk Management teams to ensure alignment to regulatory and corporate requirements relative to data management.
• Provide leadership, guidance and support for Group Functions’ data requirements in Asia (i.e., Finance, Actuarial & Risk Management)
• Drive global and Asia Business Units collaboration around value-driven data governance and focusing effort where it matters most to Manulife’s customers, employees and shareholders
• Invest in data talent and build a Global and Segment Community of Practice to take advantage of emerging data capabilities
• Champion open data design & architecture that builds for flexibility and leveraging open data frameworks & technologies
• Introduce modern data capabilities across Manulife Asia businesses through collaboration and engagement with local market technology & analytic teams
• Innovate and iterate an agile, collaborative data culture that enables and empowers analytics while creating new business capabilities that provide measurable and actionable improvements to the customer, employee and shareholder experience.
• Ensure enterprise applications align with Asia priorities, needs and requirements at both Regional and Local in-market creating awareness and efficiencies to improve Group Functions capabilities
• Constructively challenge operational processes to drive cost & delivery efficiencies while maintaining service levels and managing stakeholder expectations
• Effectively leverage and oversee different delivery and operating models between full-time staff, application management outsourcing and third-party partners
• Ensure expectations are well understood, measured and managed

Skills on Resume: 

• Data Integration and Business Intelligence (Hard Skills)
• Regulatory Compliance and Risk Management (Hard Skills)
• Data Leadership and Stakeholder Management (Hard Skills)
• Data Governance and Strategy (Hard Skills)
• Talent Development and Community Building (Soft Skills)
• Open Data Architecture and Frameworks (Hard Skills)
• Agile Data Culture and Innovation (Soft Skills)
• Project Management and Stakeholder Engagement (Hard Skills)

Job Summary: 

• Machine learning algorithm optimizations 
• Establish infrastructure, governance and mindset
• Catch-up concerning data governance and security
• Determine and enforce specific security and privacy requirements for each piece of data
• Identify and resolve legacy problems to update compliance with and access to the organization’s data assets
• Responsible for all infrastructure and algorithms (price prediction, forecasting, trending, recommendations)
• Challenge conventional wisdom and focus on opportunities for innovation by showcasing wins at an enterprise level.
• Determine what is working and what isn’t, and disseminate the knowledge and methods of achieving the best results.
•  Prioritize resource allocation by measuring business outcomes and create a feedback loop for optimizing future investments by tracking business cases through and after delivery to help ensure promises are kept.
• Develop internal systems and process metrics that can capture relevant results.
• Design/implement data management practices and own analysis process for organization programs and outputs.

Skills on Resume: 

• Machine Learning Algorithm Optimization (Hard Skills)
• Data Governance and Security (Hard Skills)
• Privacy Requirements (Hard Skills)
• Legacy Problem Identification and Resolution (Hard Skills)
• Infrastructure and Algorithms (Hard Skills)
• Innovation and Enterprise-Level Wins (Soft Skills)
• Business Outcome Measurement (Soft Skills)

Job Summary: 

• Responsible for the enterprise-wide management and use of data as a strategic asset.
• Acquire and manage the capabilities needed to drive enterprise innovation, transformation and market-facing competitive advantage through the use of data and analytics
• Development and execute an overall data strategy for the organization
• Collaborate with top business leaders to determine how timely, high-quality data can support top-level business goals, and then make it happen.
• Focus on exploiting the established data foundation to make internal and customer-centric business processes as effective and efficient as possible
• Lay the foundation for cognitive capabilities that can sense and respond to both individual customers and market forces.
• Focus on expanding the organization’s data ecosystem to include context-rich external data while maintaining the agility needed to spark innovation.
• Build and maintain alliances with other executive leaders and groups across the organization to be effective.
• Create and enforce alignment to an enterprise roadmap and value-based business cases for prioritized data initiatives.
• Identify opportunities for early, small victories, and pursue them aggressively to win enterprise support while the transformation is in process.
• Engage employees to tap into the available data, guide them in ways to derive valuable insights and take fast action.
• Develop a clear view of data and data-related projects across the organization and drive new efficiencies through shared information, common tools, and an understanding of data.

Skills on Resume: 

• Data Strategy Development (Hard Skills)
• Leadership and Collaboration (Soft Skills)
• Data Governance and Management (Hard Skills)
• Innovation and Transformation (Hard Skills)
• Change Management (Soft Skills)
• Data Ecosystem Expansion (Hard Skills)
• Employee Engagement and Enablement (Soft Skills)
• Efficiency and Optimization (Hard Skills)

Job Summary: 

• Develop the data management framework to align with data strategy
• Drive the organization’s priorities for data management and optimization
• Collaborate with leadership across the business and IT organizations to implement the data delivery outcomes
• Align and translate the business strategy into the data strategy, partner on data issues and infrastructure needs, identify gaps and drive IT solutions that ensure an integrated approach for data collection and business analysis
• Lead cross-functional governance and enterprise information policies surrounding data integrity, including the 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 organize 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 labor and IT vendor contracts
• Foster business partnerships with ELT, SLT, clients, potential clients, and current and potential key vendors
• Develop relationships that promote trust and increase efficiency and effectiveness in meeting business goals, balancing individual customer needs with business priorities assuring alignment with business strategies and objectives

Skills on Resume: 

• Data Strategy Development (Hard Skills)
• Strategic Alignment (Hard Skills)
• Governance and Policy Leadership (Hard Skills)
• Project Management (Hard Skills)
• Data Modeling and Integration (Hard Skills)
• Stakeholder Engagement (Soft Skills)
• Vendor Management (Hard Skills)
• Business Partnership and Relationship Building (Soft Skills)

Job Summary: 

• Direct and lead the data and analytics strategy
• Maximize the value derived from data assets
• Ensure effective data and analytics governance
• Improve data consumption across complex operations
• Lead Ofgem’s mastery of its data for the end-to-end data lifecycle, guiding the staff in the Data and Analysis team and Ofgem data stakeholders across the organization to better inform and evidence regulatory decisions and of the market reports to stakeholders.
• Act as an ambassador for Ofgem, providing thought leadership and coordinating guidance to energy sector data and digitalization stakeholders.
• Facilitate the modernization of the digitalization of the energy system and associated data-driven services for energy.
• Lead and motivate people to make more effective use of data.
• Responsible for representing data as a strategic business asset.
• Work closely with in-market data engineering teams, supporting local data & analytic requirements leveraging the Enterprise Data Lake

Skills on Resume: 

• Data Strategy Development (Hard Skills)
• Data Governance (Hard Skills)
• Leadership in Data Utilization (Hard Skills)
• Regulatory Knowledge (Hard Skills)
• Thought Leadership (Soft Skills)
• Change Management (Soft Skills)
• Team Leadership (Soft Skills)
• Collaboration with Data Engineering (Hard Skills)

Job Summary: 

• Overall responsibility for establishing, implementing, and managing a group-wide digital transformation agenda, focusing on data-driven technologies (data management, governance, insights, automation, and asset management).
• Work closely with key personnel to translate business agenda into tangible technology/digitally focused solutions and services
• Map and evaluate current digital assets, investigate areas for enhancement/redevelopment, and manage subsequent programs because of these investigations and assessments
• Utilize digital solutions and services to drive cost optimization and revenue-generating systems and processes
• Breed organizational awareness, support, and buy-in for wide-scale digitization agendas
• Measure, track and assess the effectiveness of digital solutions
• Manage and lead an existing team of technical resources
• Fully develop Model Risk Management processes and integrate into model life cycle management processes and tools
• Establish enterprise data governance forum and fully integrate LOB leadership
• Develops and executes a central data strategy to drive revenue

Skills on Resume: 

• Digital Transformation Leadership (Hard Skills)
• Strategic Technology Integration (Hard Skills)
• Digital Asset Management (Hard Skills)
• Cost Optimization and Revenue Generation (Hard Skills)
• Change Management and Stakeholder Engagement (Soft Skills)
• Performance Measurement and Evaluation (Hard Skills)
• Team Leadership and Management (Soft Skills)
• Data Governance and Strategy Development (Hard Skills)