Senior Manager / Associate Director - Data Governance

We are looking for a Senior Manager / Associate Director to lead delivery workstreams within a large-scale enterprise Data Governance, Architecture & Controls Program.

Responsibilities: - Lead pods focused on data lineage documentation (consumption through ADS to system of origin), target-state ADS landscape and architecture design, and aggregation layer controls including DQ rules, variance analysis, and anomaly detection. - Shape the data modeling and architecture decisions that underpin the target-state ADS landscape, working with enterprise architecture to evolve domain and subdomain taxonomy. - Conduct SME interviews across engineering and business data offices, translate enterprise data management policy into actionable delivery and build plans, and manage a small team of analysts through design and implementation. - Operate as the bridge between engineering, enterprise architecture, and data office stakeholders, and present findings and recommendations directly to senior client leadership. - Define and standardize repeatable playbooks, templates, and execution frameworks for data lineage harvesting and Authoritative Data Source (ADS) onboarding to ensure consistency across multiple pods. - Collaborate with Enterprise Architecture and Tooling teams to evaluate, select, and drive the adoption of data governance and lineage platforms. - Establish, monitor, and report on key performance indicators (KPIs) and operational metrics reflecting the progress of lineage coverage, ADS compliance, and data quality improvement to senior stakeholders.

Requirements - 8+ years in Data Management, Data Governance, or Data Architecture, ideally in financial services. - Strong grounding in data modeling and data architecture - conceptual/logical modeling, domain-driven design, and Analytical Data Store (ADS) patterns. - Hands-on experience with data lineage (fine- and coarse-grained), data quality frameworks, and the design and implementation of data controls. - Ability to interpret and operationalize enterprise data management policy. - Familiarity with cloud data platforms (GCP preferred) sufficient to plan, scope, and oversee build and deployment work. - Strong executive presence - comfortable leading SME interviews and presenting to VP+ stakeholders. - Proven ability to work across engineering, architecture, and business teams as a connector and translator.

Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.