Senior Manager / Associate Director - Data Governance

Tiger Analytics

Phoenix (AZ)

On-site

USD 150,000 - 210,000

Full time

2 days ago
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Benefits offered by this job

Career development opportunities
Equal employment opportunities

Job summary

Tiger Analytics, an advanced analytics consulting firm, is seeking a Senior Manager / Associate Director to lead delivery workstreams within a large-scale enterprise Data Governance, Architecture & Controls program. You will guide data lineage, modeling, and data quality controls, partnering with enterprise architecture and data offices, and present findings to VP+ stakeholders.

This fast-growing, entrepreneurial environment offers significant career development opportunities and a high degree

Qualifications

  • 8+ years in Data Management, Data Governance, or Data Architecture.
  • Strong grounding in data modeling and data architecture; ADS patterns.
  • Hands-on experience with data lineage and data quality frameworks.
  • Ability to interpret and operationalize enterprise data management policy.
  • Familiarity with cloud data platforms (GCP preferred).
  • Strong executive presence and ability to present to VP+ stakeholders.
  • Proven ability to collaborate across engineering, architecture, and business teams.

Responsibilities

  • Lead pods focused on data lineage documentation, 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

Skills

Data lineage
Data modeling
Data architecture
Data governance
Data quality frameworks
Executive presence
Cross-functional collaboration

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

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 exists 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.

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