Data Product lead

Looking for a Data Product Lead to lead the Data POD supporting enterprise‑scale Adobe Experience Cloud initiatives. This role serves as the technical and consultative leader for the foundational data layer that powers customer experience, activation, analytics, and personalization capabilities across the Adobe ecosystem.

• Own technical quality, delivery velocity, and overall execution for all work within the Data POD.
• Lead hands‑on reviews of solution designs, B2B data architectures, XDM schemas, configurations, integrations, and deployment plans.
• Establish and enforce quality standards, including peer reviews, QA validation processes, deployment checklists, operational runbooks, and governance controls.
• Manage and mentor offshore data engineering resources, providing clear specifications, acceptance criteria, feedback, and delivery oversight.
• Develop and maintain playbooks, templates, standards, and reusable implementation patterns for data collection, integration, and governance initiatives.
• Design and oversee Adobe Web SDK implementations, Edge Network / Data Streams configuration, tag management frameworks, and enterprise data layer architecture.
• Lead CRM, billing, and campaign data integrations into AEP, including lead‑to‑account matching and account‑based data modeling.
• Define and maintain XDM schemas, datasets, ingestion strategies, and B2B identity frameworks—accounts, contacts/leads, opportunities, and buying groups—that support enterprise use cases.
• Ensure data quality, governance, lineage, and compliance requirements are incorporated into all solutions.

• Represent the Data POD across governance forums, including sprint reviews, PI planning sessions, steering committees, and executive leadership reviews.
• Translate business priorities and Product Manager requirements into executable sprint plans and delivery roadmaps.
• Manage POD intake, prioritization, capacity planning, and dependency tracking.
• Communicate delivery status, risks, blockers, quality metrics, and adoption indicators to stakeholders and leadership.
• Partner with compliance, security, and risk teams to ensure alignment with governance requirements.
• Drive data readiness planning and milestone management for enterprise initiatives, including migrations off legacy marketing automation platforms (e.g., Eloqua, Marketo) onto the Adobe stack.
• Develop and maintain POD performance metrics, including capacity utilization, velocity, delivery health, and quality scorecard.
• Serve as the trusted advisor for all data‑related initiatives and capabilities within the Adobe ecosystem.
• Translate complex technical concepts into clear business outcomes for Product Managers, marketers, and executive stakeholders.
• Partner with business and technology teams to establish data ownership models, access strategies, service‑level agreements, and governance standards.
• Identify opportunities to improve operational efficiency through process optimization, automation, and modernization initiatives.
• Drive enablement and knowledge transfer efforts that support long‑term client ownership and operational maturity.
• Coach and develop team members while promoting a consultative, solution‑oriented culture across the engagement.
• Manage escalations, provide strategic guidance, and partner with leadership to ensure successful solution delivery.

• Own the data governance roadmap and support enterprise governance initiatives.
• Establish and maintain frameworks for data quality, freshness, completeness, lineage, and compliance monitoring.
• Drive implementation of consent management strategies, data labeling standards, DULE policies, and governance controls within Adobe Experience Platform.
• Develop and maintain KPI frameworks and dashboards that measure data health, trust, adoption, and operational effectiveness.
• Drive data quality initiatives focused on freshness SLAs, completeness metrics, integration health monitoring, and operational reliability.
• Partner with stakeholders to continuously improve data quality and reliability across customer experience platforms.

• Identify and prioritize automation…