Manager, Data Governance & Knowledge Management jobs in United States
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Apple · 1 day ago

Manager, Data Governance & Knowledge Management

Apple is seeking a Manager of Data Governance & Knowledge Management to design, implement, and operate Finance’s data governance, data quality, and knowledge management capabilities. This role ensures Finance data and institutional knowledge are trusted and AI-ready, leading a dedicated team while partnering with various stakeholders to enable effective analytics and automation.

AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Implement and operate Finance-aligned data governance and data quality frameworks, including ownership, definitions, quality rules, lineage, and issue resolution
Partner with IS&T to align Finance governance needs with enterprise platforms, certified data layers, access controls, and compliance requirements
Establish automated data quality monitoring for Finance-critical datasets used in reporting, automation, and AI use cases
Develop data quality scorecards and metrics that demonstrate business impact and support explainability and trust
Ensure Finance data is traceable, documented, and auditable to support SOX, controls, and regulatory needs
Design and maintain Finance knowledge representations (semantic models, metadata, ontologies, knowledge graphs) that capture Finance logic, rules, KPIs, controls, and processes
Structure and prepare unstructured Finance data (policies, procedures, narratives, documentation) for AI consumption, including retrieval-augmented generation and agent-based workflows
Ensure Finance knowledge assets are discoverable, contextualized, and versioned, enabling explainable and trustworthy AI outputs
Partner with AI/ML and Automation teams to ensure data and knowledge structures support including Explainability, Human-in-the-loop validation, and Safe iteration and feedback-driven improvement
Enable mechanisms for Finance users and SMEs to understand, validate, and correct AI- and analytics-driven insights
Ensure outputs can be traced back to source data, business rules, and knowledge artifacts
Embed governance and explainability requirements into Finance analytics, automation, and AI delivery workflows from the start
Lead and mentor a small team of data engineers focused on Data quality automation, Metadata and lineage management, and Knowledge modeling and graph development
Translate Finance and Transformation priorities into clear, actionable technical work
Balance hands-on contribution with people leadership, code/design review, and delivery accountability
Prioritize work based on Finance Transformation initiatives and AI-readiness milestones
Partner closely with, Finance Product and Engineering teams, Program and Process leaders, IS&T data and platform teams
Work with Finance SMEs (FP&A, Accounting, Controllers, Audit, Risk) to accurately capture and formalize domain knowledge
Participate in enterprise governance forums as the Finance representative, ensuring alignment without owning enterprise-wide governance scope

Qualification

Data governanceData quality frameworksAnalytics engineeringKnowledge managementAI/ML data requirementsSemantic modelingModern data platformsStakeholder managementTeam leadershipProblem-solvingClear communicationAttention to detailCollaboration

Required

8+ years of experience in data governance, data management, analytics engineering, or related roles
2+ years proven experience managing, developing and coaching as leader of a team
Bachelors of Science (BS) or equivalent degree in Finance, Business Management, Computer Science, Engineering or a field required

Preferred

Experience implementing data quality frameworks, metadata management, lineage, and data catalogs
Hands-on experience or strong exposure to semantic modeling, ontologies, or knowledge graphs
Familiarity with AI/ML data requirements, including explainability, RAG, and human-in-the-loop feedback
Experience working with modern data platforms (e.g., Snowflake, Dataiku, cloud-native stacks)
Strong ability to translate technical concepts into Finance and business context
Experience with knowledge graph or semantic technologies (tool-agnostic)
Exposure to AI/ML governance or model input management
Experience supporting audits, compliance, or SOX-related data processes
Execution-oriented leadership with strong attention to detail
Ability to balance technical depth with business understanding
Strong collaboration and stakeholder management skills
Problem-solving mindset with a bias toward automation and scalability
Clear written and verbal communication across technical and non-technical audiences
Experience working in Finance or regulated environments

Benefits

Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation

Company

Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

H1B Sponsorship

Apple has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)

Funding

Current Stage
Public Company
Total Funding
$5.67B
Key Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity

Leadership Team

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Tim Cook
CEO
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Craig Federighi
SVP, Software Engineering
Company data provided by crunchbase