Manager, Data & AI Platforms

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Manager, Data & AI Platforms

Ma’aden

Location

Riyadh, Saudi Arabia

Experience

Senior

Posted

Jul 14, 2026

Apply by

August 13, 2026

Applicants

0

Early applicantEasy applyFull-timeWork from Office

Job Description

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 1. Provide leadership and oversight across multiple data domains, each owned by a designated domain owner 2. Ensure domain owners apply consistent principles for data ownership, stewardship, modeling, quality, and governance. 3. Balance demand across domains by prioritizing data products based on enterprise value, regulatory need, and readiness. 4. Ensure domain data products integrate cleanly with enterprise platforms and downstream consumers. 5. Act as the primary business‑facing interface for enterprise data domains, translating strategic needs into coordinated domain roadmaps. 6. Enable domain owners to focus on execution by removing blockers, resolving dependencies, and clarifying priorities. 7. Ensure lifecycle artifacts (ownership, definitions, quality expectations, refresh SLAs) are consistently produced across domains. 8. Lead and develop domain owners, ensuring clarity of role boundaries between domain ownership and enterprise oversight. 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

Key Responsibilities

  • Provide leadership and oversight across multiple data domains owned by designated domain owners.
  • 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 and regulatory need.
  • 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 roadmaps.
  • Enable domain owners to focus on execution by removing blockers and resolving dependencies.
  • Ensure lifecycle artifacts such as ownership definitions, quality expectations, and refresh SLAs are consistently produced.
  • Lead and develop domain owners, ensuring clarity of role boundaries between domain ownership and enterprise oversight.

Requirements

  • Bachelor's or Master's degree in Computer Science
  • Data Engineering
  • Software Engineering
  • Cloud Computing
  • or related field

Skills Required

Data Domain ManagementData Product ManagementEnterprise Data GovernanceData ModelingData Quality ManagementStakeholder ManagementCross-functional CollaborationLeadershipStrategic ThinkingCommunicationProblem SolvingInfluence

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