Senior Data Manager – Senior Vice President
- Compensation
- Not disclosed
- Location
- Mumbai Maharashtra India
- Work setup
- Not specified
- Seniority
- C level
- Employment
- Full time
- Experience
- 10+ years
- Category
- Not specified
- Posted
Skills
Must have
- · 8 - 10+ years in data management/governance within regulated environments, with demonstrated domain ownership and accountability for governance outcomes, and data controls
- · Recognized SME on data governance standards, metadata/catalog practices, lineage tooling, controls, data exception management and strategic remediation and authority designations on data assets; ade
- · Proven experience running governance forums and/or working groups, preparing attestations/evidence, and coordinating with 2nd/3rd lines on assessments.
- · Strong stakeholder leadership - conflict resolution on definitions and uses, clear communications to management, and orchestration across business, data, and technology teams.
- · Hands-on proficiency with data catalogs and DQ/exception workflows; disciplined risk tracking and remediation.
- Education:
- · Bachelor’s degree required; Master’s preferred - Information Systems, Business, or related field. Relevant certifications in data governance/information management are a plus.
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Full description
The Senior Data Manager leads end-to-end execution of Legal’s data governance program for assigned domains, bringing business-critical data under governance, ensuring metadata is complete and current, and establishing transparent, authoritative sourcing and lineage. This role is accountable for domain outcomes that enable accurate, complete, and timely reporting, proactive risk management, and ongoing compliance with Citi’s Data Governance Policy (CDGP).
As the primary liaison to Domain Owners, business SMEs, and Legal function community, the Senior Data Manager directs and manage complex, cross-functional work with Legal Stakeholders, Enterprise Data Office (EDO), Technology partners, Data Consumers, Data Strategy, and Data Risk & Controls– establishing the operating rhythm, identifying critical data, defining and establishing strategies in resolving gaps to data consumption & controls, enhancing and monitoring data health, assessing and mitigating data risk, and ensuring all data within the scope of the Senior Data Manager’s domains is both safe and fit-for-purpose.
Responsibilities:Data Governance & Compliance:
· Responsible for the governance cadence for assigned Legal domains; drives agendas, decisions, and escalations with Domain Owners and execution Working Groups.
· Identifies, catalogs, and certifies Critical Data Elements (CDEs); ensures metadata is complete/current via periodic reviews and attestations.
· Ensures adoption of new policy/standard changes; champions accountability and compliance across the domain.
· Manages data quality and data risk through oversight of controls and scorecards; actively reports issues and proactively mitigates poor data quality risk impacting Legal and data consumer’s processes and reports.
Data Quality & Exception Management:
· Leads the lifecycle of data quality rules - co-defining requirements with consumers, setting thresholds, monitoring performance, and driving remediation to closure.
· Maintains data exception backlogs, prioritizing fixes with Technology and SMEs, to ensure remediation is always in the form of robust, sustainable solutions.
· Leads data controls assessment, gap analysis, enforcement and monitoring of data risk mitigation controls in partnership with control owners and GAU (Global Assessment Unit) owners.
· Drive data control effectiveness and efficiency improvement initiatives for Legal.
Lineage, Metadata & Sourcing:
· Captures and maintains end-to-end lineage (movement and transformations) for priority data assets; identifying and tagging authoritative data sources and managing authority approvals through enterprise tools and workflows.
· Establishes and maintains standardized domain semantics and taxonomies; ensuring traceability from CDEs to controls/DQ rules and eventually to solution endpoints.