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Manager, Data & AI Platforms
Job Purpose
The Manager, Data Domain and Products is accountable for governing, coordinating, and enabling a portfolio of data domains and their associated data products, rather than owning a single domain directly.
The role ensures that domain data owners (Principal Specialists) operate within a consistent enterprise framework for data products, governance, quality, and value realization. It acts as the portfolio‑level authority, aligning domain priorities with enterprise strategy, resolving cross‑domain conflicts, and ensuring that data products are delivered as reusable, governed assets rather than siloed solutions.
This role is responsible for how data domains operate together, how data products are prioritized and standardized, and how domain outputs collectively support enterprise reporting, operations, controls, and decision‑making.
Key Accountabilities
- Provide leadership and oversight across multiple data domains, each owned by a designated domain owner
- Ensure domain owners apply consistent principles for data ownership, stewardship, modeling, quality, and governance.
- Balance demand across domains by prioritizing data products based on enterprise value, regulatory need, and readiness.
- Ensure domain data products integrate cleanly with enterprise platforms and downstream consumers.
- Act as the primary business‑facing interface for enterprise data domains, translating strategic needs into coordinated domain roadmaps.
- Enable domain owners to focus on execution by removing blockers, resolving dependencies, and clarifying priorities.
- Ensure lifecycle artifacts (ownership, definitions, quality expectations, refresh SLAs) are consistently produced across domains.
Minimum Qualification, Experience and Competencies
Minimum Qualification
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, Cloud Computing, or related field.
MBA or Master’s degree or equivalent professional experience is an advantage.
Minimum Experience
- 12+ years of experience across data, analytics, or enterprise information management
- Proven experience leading multiple data domains or portfolios , not just a single domain
Demonstrated ability to manage senior specialists and influence cross‑functional stakeholders
Skills:
Portfolio‑level data domain and product management
Enterprise data governance and operating models
Cross‑domain KPI and semantic alignment
Stakeholder management at senior business and technical levels
Ability to translate strategy into coordinated execution across multiple owners
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