Product Domain Enablement Lead

Job Description Role Summary

Serve as the enterprise authority on the Product data domain, guiding strategy, standards, governance, and adoption. Ensure high-quality, scalable, and compliant product data across all business units and platforms; lead the Product Domain Council, partner with delivery teams, and enforce Product Master as the source of truth.

• Enterprise Product Domain Expertise
  • Act as the primary subject matter expert for the Product domain, advising business and technology teams on best practices, standards, and data usage.
  • Translate business needs into product data requirements; advocate for product‑centric capabilities and processes across the enterprise.
• Lead the Product Domain Council
  • Establish, chair, and manage the Product Domain Council to drive alignment on policies, standards, prioritization, and roadmap decisions.
  • Facilitate cross‑functional collaboration, issue resolution, and decision‑making with representation from business, data, architecture, security, and delivery teams.
  • Maintain transparent governance artifacts (charters, decision logs, standards) and communicate outcomes to stakeholders.
• Data Product Strategy and Scalability
  • Define and oversee the roadmap for Product data products (e.g., Product Master, attributes catalog, variants/configurations, classifications), ensuring scalability, resilience, and fitness for purpose.
  • Set non‑functional requirements (performance, availability, security, compliance, observability) to support growth in data volume and user demand.
  • Guide architecture patterns (APIs, streaming, batch, event‑driven) and reference implementations that enable reuse and consistent adoption.
• Implementation Partnership and Delivery Enablement
  • Partner with delivery teams to ensure Product data assets and products are implemented according to domain standards, architecture principles, and governance controls.
  • Provide design reviews, solution approvals, and readiness checks; remove delivery roadblocks and align dependencies across upstream/downstream systems.
  • Define and measure success criteria (SLAs, SLOs, data quality KPIs) for launches and iterations.
• Access Policies, Controls, and Approvals
  • Define role‑based access policies, data usage guidelines, and data sharing agreements for Product domain assets.
  • Approve access requests and entitlements, ensuring compliance with regulatory and security requirements.
  • Partner with Security, Legal, and Privacy teams to operationalize retention, classification, and data minimization practices.
• Data Quality, Integrity, and Lifecycle Management
  • Be accountable for the quality and integrity of Product domain data, including stewardship, issue management, and remediation plans.
  • Establish and enforce lifecycle management for product records, including creation, updates, versioning, variants, discontinuation, and archival.
  • Govern associated reference data, metadata, taxonomies, and hierarchies; maintain authoritative definitions, lineage, and catalogs.
• Product Master Adoption and Source‑of‑Truth Enforcement
  • Ensure internal systems and solutions consistently use Product Master as the authoritative source for product identity and core attributes.
  • Define integration standards (APIs, event contracts, matching/versioning rules) and certify consuming applications for compliance.
  • Monitor adherence and address deviations through remediation plans and governance escalation.
• Standards, Policies, and Compliance
  • Implement and maintain domain standards, data models, naming conventions, and semantic definitions; align with enterprise architecture and data governance frameworks.
  • Ensure compliance with regulatory requirements and internal policies relevant to product data (e.g., safety/regulatory labeling, regional attributes).
• Measurement, Monitoring, and Continuous Improvement
  • Define domain‑level metrics and dashboards (data quality scores, coverage, timeliness, adoption, SLA compliance).
  • Conduct regular reviews and retrospectives to identify improvement opportunities; drive enhancements to data products, processes, and controls.
  • Benchmark against industry practices and introduce innovations that improve product data capabilities and business…