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# Senior Manager / Associate Director - Data Governance

- **Company:** Tiger Analytics
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Analysis of Variance (ANOVA), Data Architecture, Data Control, Data Governance, Cloud Services, Enterprise Data Management, Build Management, Data Lineage, Data Management, Domain Driven Design
- **Published:** July 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b234cdd77797f9c6

## About the Role

+ 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.

## Description

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


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