Data Cloud Integration Product Manager

Job Title: Data Cloud Integration Product Manager

Location: East Hanover, NJ Hybrid (3 days (Mon-Thurs), 2 remote)

Key Performance Indicators

KPI area  What good looks like

Delivery predictability  Committed integration scope is delivered with transparent dependencies, risks, and release readiness.

Pipeline reliability  Shared data pipelines meet agreed refresh, stability, monitoring, and support expectations.

Data quality  Source-to-target data is reconciled and meets defined completeness, validity, and usability criteria.

Reuse and standardization  Enterprise patterns and shared data products reduce duplicative integration work across Data Spaces.

Backlog health  Integration work is prioritized, clearly specified, testable, and ready for sprint and PI planning.

Operational excellence  Incidents, defects, technical debt, lineage, and ownership are visible and actively managed.

Ideal Background

•  Bachelor's degree in data, technology, business, engineering, computer science, or a related field required; advanced degree preferred.

•  Fluent English; other languages are desirable.

•  5+ years of product management, data integration, data engineering, platform delivery, or technical product ownership experience.

•  Strong knowledge of data integration concepts, APIs, batch and streaming pipelines, transformation, data contracts, schema mapping, lineage, observability, and data quality.

•  Hands-on understanding of Salesforce Data Cloud, including Data Streams, Data Lake Objects, data modeling, identity resolution dependencies, calculated insights, and activation workflows.

•  Demonstrated experience leading an agile backlog and coordinating delivery across architects, engineers, analysts, QA, source-system owners, and business product teams.

•  Strong ability to translate business and analytics needs into scalable technical requirements and explain architecture trade-offs to nontechnical stakeholders.

Preferred

•  Experience with Salesforce, Snowflake or comparable cloud data platforms, Veeva, CRM integration, and enterprise analytics ecosystems.

•  Familiarity with CI/CD, DevOps, metadata management, data cataloging, and production support practices.

•  Background in pharma, life sciences, or another regulated, data-intensive industry.

Leadership Competencies

Navigate complexity

•  Enable impactful and timely decision-making across business, data, technology, privacy, and compliance stakeholders.

•  Identify the critical issues in complex situations, maintain focus on enterprise outcomes, and adapt priorities as conditions change.

•  Take a long-term view of platform sustainability, downstream impacts, and reusable enterprise capabilities.

Deliver collective impact

•  Integrate diverse perspectives to achieve the best outcome for the enterprise.

•  Influence without authority and collaborate effectively across organizational boundaries.

•  Challenge assumptions constructively and make decisions grounded in evidence.