Data Cloud Integration Product Manager

Job Title:

Data Cloud Integration Product Manager

Location:

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

Pay rate: $80/hour – $100/hour (Lowest would be better)

Novartis is on a mission to transform medicine and improve lives worldwide. As a global leader in healthcare, we leverage advanced technology and data to deliver patient‑centric solutions, enhance customer engagement, and drive innovation. We collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data‑driven decision‑making. The US CRM organization sits within Strategy, Platforms & Transformation (SPT) – AI & Platform Products and plays a crucial role in driving the transformation to a next‑generation Customer
360 operating model.

Novartis seeks an accomplished product leader with a track record of turning business demand from multiple commercial functions into a well‑managed data product backlog. Strong prioritization judgment, stakeholder partnership, and hands‑on data fluency are essential to success in this role.

Reporting to Director, PO Audience Activation & Marketing Intelligence, Data Cloud Integration Product Manager owns the enterprise integration capability that brings governed, reusable, and reliable data into Data Cloud and makes shared data products available across Data Spaces. The role converts requests for new Data Streams and enterprise analytics views into prioritized pipeline work, defines reusable integration patterns, coordinates architecture and delivery dependencies, and ensures that Data Streams, Data Lake Objects, batch data transforms, calculated insights, and cross‑space reporting models are built and maintained to enterprise standards.

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.

• 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.

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

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

• Backgroun…