• Creating and executing a central data strategy including a robust Master Data governance and definition of adjacent processes
• Overseeing data governance across the organization
• Data management and ensuring data quality
• Driving enterprise digital transformation for a more customer-focused, agile, and lean organization
• Enabling data usability, availability, and efficiency
• Communicating a data vision, a critical part of growth strategy
• Identify strategic opportunities to enhance efficiency through effective use of data
• Establish data policies, standards, governance, and processes for enterprise data
• Lead large technical teams to oversee the collection, storage, management, quality, and data protection
• Understand business needs and define actionable data strategies
• Identify cost savings and increase revenue opportunities based on accurate data analysis
• Create business value by eliminating data territorialism
• Define and enforce standards of uniform and repeatable methodology

Skills: Data Governance and Strategy Development, Data Quality Management, Enterprise Digital Transformation, Data Usability and Efficiency, Communication and Visionary Leadership, Strategic Data Analysis, Data Policy and Standards Development, Team Leadership

• Institute enterprise data governance practices and fully integrate the line of business leadership
• Build a data culture by leading the organization in changing mindsets and inspiring data sharing
• Develop high-level conceptional data models highlighting core business objectives and data relationships
• Create Model Risk Management processes and integrate them into management tools
• Provide business community easy access to enterprise data
• Promote self-service data analytics and remove the need for technology to complete data projects
• Partner with the c-suite to be an influential voice, hear the desires, and be highly responsive
• Understand all aspects of data processing, preparation, analysis, and presentation of information in an easy-to-understand format
• Dive data innovation, organizational learning, future planning, vision, patterns, trends, and analytics maturity
• Enhance data quality through proper management, procedure, and data governance
• Protect data against intrusion, corruption, and loss of data
• Develop and implement data privacy policies with global data protection regulations

Skills: Data Governance Implementation, Change Management, Data Modeling, Model Risk Management, Data Accessibility, Self-Service Analytics Promotion, Strategic Partnership, Data Processing and Security

• Manage and lead one of the biggest data teams in Hong Kong with data scientists, analytics managers and analysts
• Design and oversee large-scale analytics programs and projects related to data models, data management, visualization and reporting
• Work closely with IT and digital teams to create innovative platforms and tools
• Expand data initiatives to C-levels, other business units and joint ventures to align with a group data strategy
• Establish data collection strategy and data infrastructure design & implementation roadmap to enable data aggregation
• Introduce more Machine Learning/AI in the new ongoing projects.
• Define, design and manage the future road-map for the business’s data technology strategy along with C-level stakeholders
• Take full ownership and accountability for executing the data initiatives within the business
• Led the data analytics and data science team to support the scaling of the data platform and focus on the improvement of operations.
• Continuous development of data integration, BI & Dashboard and implementation of Advanced Analytic capabilities
• Determine service-level agreements for existing and future delivery.

Skills: Leadership and Team Management, Project Management, Strategic Planning and Execution, Data Infrastructure and Strategy, Innovation and Technology Integration, Stakeholder Management, Advanced Analytics and BI, Performance Management

• Developing and managing the capabilities needed to drive company-wide innovation, transformation and competitive advantage through the use of data and analytics.
• Overseeing the evolution of AI systems, creating AI models and inferences, and carrying out all data analytics functions for products and the business.
• Cumulating and analyzing the copious amounts of data within the organization, increasing operational efficiency and impacting outcomes.
• Defining, developing, and deploying data security systems, ensuring the safety and security of data at all levels
• Keeping data safe from breaches, fraud, and attacks.
• Defining architectural or engineering-oriented methods to create better data environments.
• Defining the ethics of data management, specifically on how it's collected, safeguarded and shared and who controls it or makes suggestions to it.
• Transforming the organization by creating a data-driven culture and that directs the value propositions for clients.
• Prioritizing data and analytics as the primary drivers of the business strategy, while still aligning to the overall business strategy.
• Generate momentum and commitment with visible and rapid results from data investments.

Skills: Data Strategy Development, AI and Machine Learning Expertise, Data Analysis and Insights, Data Security and Governance, Cybersecurity Awareness, Data Architecture Design, Ethics in Data Management, Cultural Transformation

• Define and implement Simple's Data Strategy ensuring alignment across Business, Tech & Data.
• Lead Product Analytics, Product Monetisation, and Data Science teams
• Instill the culture of data-driven decision-making across business functions & processes
• Provide strategy and clear direction to a mixed-skilled and mixed-level team
• Coaching and developing them to achieve success (teams include data engineering, data science/validation, analytics and insights and more)
• Champion and develop each of the disciplines within the function to a standard that meets the needs of the organization
• Partner with business units and other stakeholders to develop strategies to meet business goals
• Build and maintain strong relationships at senior and executive levels across Simple and Palta to understand and shape their planning to take advantage and drive value from data and information.
• Leads, champions, and mentors technology management and staff in the delivery of technical services to PPFA and the Affiliates with a focus on career, training, advancement, and recognition.
• Grow an inclusive and diverse culture, promoting the sharing of knowledge and lessons across Ofgem and the energy sector

Skills: Data Strategy Development, Team Leadership and Management, Data-Driven Decision Making, Stakeholder Management, Strategic Planning and Execution, Championing Data Disciplines, Business Partnership and Collaboration

• Owns, Designs and implements data strategy and governance for the organization.
• Leads, motivates and manages by influencing people close to data in various departments across the organization
• Responsible for the “What” when it comes to the collection, storage, management, quality and protection of data.
• Ensures that data privacy policies and regulations are considered and works closely with the company's compliance office.
• Works with businesses to develop analytics and models to drive revenue, profitability, and student success and in general enable a data-driven management and culture.
• Effectively communicates the status, value, and importance of data governance and data quality to executive members and staff
• Enables data usability, availability, and efficiency
• Drives enterprise digital transformation innovation, cost reduction, and revenue generation
• Supports analytics and reporting on products, customers, operations, and markets”
• Communicates a data vision as a critical part of supporting the company growth strategy
• Oversees data governance, data investment and partnerships and strategizes with C-level colleagues

Skills: Data Strategy Development, Leadership and Influence, Data Governance Expertise, Compliance and Privacy, Analytics and Modeling, Communication Skills, Data Usability and Efficiency, Digital Transformation Leadership

• Corporate with Chairman to define vision, analyze and enterprise data and analytics strategy of the whole group & member companies
• Work with the leadership team in member companies to define the overall Data architecture and Target Operating Model
• Define and build the data and analytics team (e.g. data scientists, translators)
• Create business intelligence reports for the group
• Provide advisory services to member companies on prioritization and requirements
• Collaborate with all relevant stakeholders for innovating data & analytics
• Corporate with external stakeholders to fully promote data & analytics vision of the organization
• Report to Chairman and BOD
• Advise on best approaches and methods, whilst always being extremely commercially focussed.
• Prioritize Data Roadmap, and add more structure to a scaling company.
• Building Machine Learning Models, to unlock the potential behind customer data.

Skills: Data Strategy Development, Data Architecture and Operating Model, Team Building and Leadership, Business Intelligence (BI) and Reporting, Advisory and Consultation, Stakeholder Collaboration, External Stakeholder Engagement, Commercial Focus and Strategic Guidance

• Experience in managing both back or middle-office data teams and front-office business teams
• Strong technical background with data, either from an engineering standpoint or an analytics standpoint.
• Excellent business acumen and understanding meeting business goals is the primary purpose and data is simply an enabler for this.
• Strong sense of initiative and self-direction.
• Quick learning agility, both business and technical.
• Broad understanding of how data and AI can enable new business opportunities.
• Experience building highly scalable AI, data, and analytics products in the cloud.
• An excellent grasp of modern technologies and practices around AI/ML, data architecture, data processing and storage, reporting, and analytics.
• A toolkit for cultivating high-performing teams with a focus on engineering excellence.
• A deep understanding of how to leverage the platform model to support the organization in a highly scalable way.
• Ability to close the communication gap between business and tech.

Qualifications: BA in Computer Science with 20 years of Experience

• A background  in computer science, mathematics, statistics, engineering, economics, or a related field
• Be able to program Python and work with Jupiter Notebooks
• Responsible for differentiating data sources and building a data schema and linking datasets
• Explore data visually and map data, particularly using geographic information systems (GIS)
• Knowledge of current computer and electronic data processing systems and technology solutions to business problems.
• Advanced mathematical skills and knowledge of probability and statistics.
• Strong knowledge of system analysis, computer programming and computer operations.
• Skill planning, directing and coordinating the myriad of operational details and projects.
• Skill estimating resource requirements (staffing and system equipment) as well as estimating the cost of maintaining production services.
• Excellent verbal and written communication skills with demonstrated management and supervisory abilities.

Qualifications: BA in Information Systems with 18 years of Experience

• Proven experience in developing and managing group-level digital roadmap and agenda in line with business objectives
• Strong foundational and practical background in data management, business intelligence, and data science-related technologies
• Proven success in deploying solutions to drive business value/monetize data
• Familiarity/practical experience in managing the deployment of IoT technologies
• Practical experience working with/developing/implementing Robotic Process Automation solutions
• Experience deploying or capitalizing on existing ERP/SaaS solutions
• An agile practitioner with success in managing multiple parallel digital programs
• Excellent communication, interpersonal, and stakeholder management skills
• Fluency in German and English and be able to read and interpret written information.
• Writes clearly and informatively and presents information effectively

Qualifications: BA in Statistics with 19 years of Experience

• Experience in senior-level data management roles and Project Management
• Critical thinking, problem-solving skills and the ability to think strategically and innovatively
• Ability to make rational decisions with a sense of urgency and flexibility in an ever-changing environment
• The willingness and ability to learn new skills
• Ability to work under pressure, within deadlines, and independently or with other team members
• Ability to continuously learn and develop new skills to maintain technical currency
• Strong leadership, technical expertise, and security-related experiences/skills
• Must be a team player, methodical, organized and detail-oriented
• Professionalism and ethical behavior
• Ability to influence, motivate and collaborate with others.
• Speaks clearly, confidently and persuasively in positive or negative situations, listens and gets clarification
• Responds well to questions and demonstrates group presentation skills

Qualifications: BA in Data Science with 10 years of Experience

• Experience with Big Data transformation-based approaches and a proven track record of managing risks and data security.
• Experience in developing commercial strategies around data and data product monetization
• A strong people leader, able to communicate a clear and inspiring vision of the future for Data/Research.
• High levels of creativity and drive and a genuine affinity for problem-solving 
• A talent for communicating complex information to both technical and non-technical senior audiences
• Familiar with the latest and greatest in optimization tools and AI machine learning techniques.
• Have exposure to statistical, mathematical, and predictive modeling experience as well as strong business strategy skills
• Have significant experience in leadership at the senior level over data and/or analytics departments in past roles
• Highly motivated, experienced innovators who have produced tangible results
• Listens to others, attends to nonverbal cues, and responds appropriately.
• Ability to lead without ego and offer service to others, deliver the best value to the organization first.

Qualifications: BA in Business Analytics with 16 years of Experience

• Experience organizing and analyzing large amounts of structured and unstructured data sets using data analytical tools
• Be able to create and implement data collection and business intelligence tools such as Tableau, and Socrata
• Experience in providing data visualizations to an organization and collaborating with program office staff to identify and resolve data quality issues.
• Experience developing and communicating technical recommendations, strategies, and solutions, orally and in writing, to management and executives within an organization.
• Experience executing IT project management best practices and principles in government or private industry, including earned value management
• Experience in cost-benefit/alternatives analysis, risk management, acquisition management, resource planning and scheduling.
• Must have IT-related experience demonstrating each of the four competencies listed below.
• Be thorough when performing work and conscientious about attending to detail.
• Developing and managing data management policies, data exchange development, metadata standards and compatibility with emerging web data standards
• Oral Communication to express information (for example, ideas or facts) to individuals or groups effectively, taking into account the audience and nature of the information 
• Be able to make clear and convincing oral presentations

Qualifications: BA in Economics with 18 years of Experience

• Prior experience as a City Research Scientist Level I 
• Extensive leadership experience directing a team of analysts and project managers, as well as experience scoping and implementing cross-division projects and initiatives.
• Demonstrated knowledge of and experience with technical aspects of analytics, including geospatial analysis, data science and statistical methodologies, data management, analytical and data visualization software tools and coding languages.
• Extensive project management and team leader experience.
• Practical experience in product development and application of user research, design-thinking and agile methodologies
• Track record of fostering innovation, prioritizing initiatives and coordinating the deployment of complex projects across departments and different groups of stakeholders.
• Comfortable working in a fast-paced environment and navigating ambiguity.
• Strong writing, administrative, management and interpersonal skills.
• Overseeing the collection, management, and storage of data across an organization, and analyzing and deriving insights from data, to inform business strategy and value
• Leading the efforts to analyze, define data requirements and specifications, and track or integrate data collections, data purchases, databases, physical data models, and linkages between data sets.

Qualifications: BA in Applied Mathematics with 15 years of Experience