Vice President - Data Owner Lead (Data & Analytics)

As Data Owner Lead, you will drive impactful data strategies and fostering a data-driven culture. This role offers opportunities for career growth, skill development, and collaboration with industry-leading experts. Be part of a team that leverages AI and machine learning to support the firm’s commercial goals. In addition to strong governance execution, this role emphasizes hands-on data product delivery, bringing data together from multiple sources, shaping it into high-quality, reusable data products, and enabling broad consumer populations and advanced analytical solutions. As a Data Owner Lead within the Chief Data & Analytics Office, you will execute data strategies that align with business operations and strategic objectives. You will collaborate with cross-functional teams to ensure data is understood, fit for purpose, and well-governed. You will also partner with Technology and Analytics to define and maintain data products, including curation, semantic consistency, documentation, and lifecycle management. In this role, you will help drive organizational growth and competitive advantage by supporting a culture of data-driven decision-making. You will work closely with partners across Business, Technology, Analytics, Operations, and Risk and Control functions. Your leadership will ensure data quality, integrity, and security, while supporting innovation and compliance with data governance standards. You will partner with information architecture and data platform teams to ensure data products are scalable, discoverable, and fit for enterprise use. Job Responsibilities Lead data project execution, mitigating risks and inefficiencies. Develop relationships with data providers and consumers across multiple functions. Engage broad-based consumer populations (operations, reporting, analytics, data science) to understand usage patterns and improve usability of curated datasets and data products. Collaborate with partners to document and classify critical data with metadata. Ensure metadata is actionable and supports discovery and reuse (business definitions, technical metadata, lineage, quality rules/thresholds, and product documentation). Provide subject matter expertise on data content and usage within the business and associated product areas. Document requirements for data sourcing, content, and quality. Define requirements for integrating multiple upstream sources (including mapping, transformation logic, and reconciliation) and for building curated datasets that support analytics and reporting use cases. Develop processes to identify and mitigate data risks throughout the data lifecycle, including data protection, privacy, retention, destruction, storage, use, and quality. Ensure controls are operationalized within pipelines and data products (e.g., automated quality checks, monitoring/alerting, and auditable evidence). Support data analytics by governing data integration into analytics platforms, including designing fit-for-purpose curated datasets and feature-ready data products for advanced analytics/ML use cases. Communicate and resolve data issues, maintaining data integrity; Support data issue triage and root-cause analysis with business and technology partners; drive remediation and preventative controls to reduce recurrence. Leverage AI/ML and LLM tooling to automate governance and data management activities (e.g., metadata drafting/classification, control evidence generation, quality rule suggestions, lineage/documentation assistance), including prompt creation and evaluation; contribute to agent-based workflow designs where appropriate. Required Qualifications, Capabilities, and Skills Bachelor’s degree in Data Science, Computer Science, Information Systems, Data Analytics, or equivalent professional experience. Five years of experience in data management, data governance, or risk management/analytics. Demonstrated experience delivering or partnering closely on delivery of data products or curated datasets th