Director, Data Strategy & Engineering

Job Description

Job Description What's the opportunity? As the Director, Data Strategy & Management, you will be responsible for leading a multi-functional data management team in the development and implementation of Fraud Management’s (FM) data and technology strategy. You will be responsible for the development and execution of the strategic roadmap for data and technology in Fraud Management, sponsoring data initiatives to integrate new data sources, oversee the development of data pipelines etc. You will collaborate with multiple stakeholders at varying levels of seniority, govern Fraud data by serving as the Data Steward, and lead the operationalization of the Fraud Data Domain. What will you do? Lead the Data Strategy and Data Management functions responsible for developing and executing Credit & Fraud Management’s (CFM) data strategy, including planning the acquisition of new sources of data, maintenance of CFM’s data catalog and researching, business casing and sponsoring initiatives to onboard future data resources and technologies. Responsible for data management and data governance. Manage DSA-owned data assets, ensuring access controls are implemented down to the data element level to enable sharing with external partners while effectively maintaining permissions Lead CFM’s Data Engineering function in the development of analytics-focused data resources, creating high-quality, resilient data sets built to accommodate multiple analytic objectives, enabling the data practices across the CFM data community Identify opportunities to improve platform/infrastructure, governance, architecture, data quality, and lineage and develop a robust analytics environment, improving efficiency for end user experiments, insights, and analytics work What you need to succeed Must have: 7 years’ related work experience in Product Management, Data Governance, Business Analyst 2 years’ experience in relevant product/service domain (i.e. Fraud) Full comprehension of the technical architecture that underpins the Fraud Decisioning Ecosystem as well as how this ecosystem supports the day-to-day operating requirements of DSA Exceptional demonstration of Leadership Model capabilities and a proven ability to actively foster psychologically safe working environments Data analytics expertise, with an understanding of common enterprise technologies and approaches Strong problem solving, research, quantitative skills and working knowledge of big data and cloud platforms, data architectures and tools Proven experience with analytical software packages and a variety of programming languages Exceptional communication and presentation skills, including the ability to effectively communicate analytical concepts and recommendations to both technical and non-technical audiences Excellent time management and organizational skills, with ability to manage multiple projects simultaneously, prioritizing for greatest impact Strong collaboration and partnership skills with the ability to manage th

Required Skills