Data Cloud Integration Product Manager

Novartis; East Hanover (NJ); Hybrid; USD 110,000 - 138,000; Full time

Benefits offered by this job

Health benefits

Dental

Vision

401k

Job summary

Novartis seeks a Data Cloud Integration Product Manager to lead enterprise data streams and governance. You will convert business asks into prioritized data pipelines, align with architects, and own reusable integration patterns across Data Spaces.

The role requires strong data fluency, stakeholder partnership, and hands-on experience with Salesforce Data Cloud and data products. Hybrid work and a 12-month contract are offered.

Qualifications

• Bachelor's degree in data, technology, business, engineering, computer science, or related field.
• 5+ years in product management, data integration, or technical ownership.
• Fluent English; other languages desirable.
• Hands-on Salesforce Data Cloud experience and data pipeline knowledge.

Responsibilities

• Own enterprise Data Cloud integration backlog and priorities.
• Define scopes, epics, and data contracts for Data Streams.
• Coordinate cross-space data pipelines and analytics models.
• Lead lifecycle management of data products from design to production.

Skills

Data integration

APIs

Batch pipelines

Streaming pipelines

Data quality

Observability

Agile backlog mgmt

Stakeholder mgmt

Education

Bachelor's degree in data/science/engineering

Advanced degree preferred

Tools

Salesforce Data Cloud

Data Streams

Data Lake Objects

Snowflake

Veeva

CI/CD

DevOps

Job description

:::This role is offered through [MSP/supplier/third party provider], who, if selected, will be your employer. If your services are retained, you will be assigned to provide services to Novartis as the end client. This is not an offer of employment with Novartis. If you are selected for this Temporary/External opportunity, you will not be an employee of Novartis and will not be eligible for any Novartis employee benefits or incentives. :::

Novartis touches the lives of a tenth of the world’s population. Every role here, regardless of contract type, makes an impact on human life!

Novartis US partners with external managed service provider Magnit Global to offer engaging temporary contractor opportunities like this, to those who are looking for flexibility in their career while looking to gain new skills and experiences providing services to an inclusive global medicines company.

Data Cloud Integration Product Manager

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 Customer360 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.

Major Accountabilities

• Manage integration intake: Receive and qualify requests for new Data Streams, source‑system connections, shared data products, enterprise analytics views, and cross‑space reporting needs.
• Shape enterprise priorities: Prioritize enterprise‑level data pipeline development based on business value, reuse potential, platform dependencies, data readiness, capacity, and operational risk.
• Define integration scope: Translate source‑to‑target needs into clear epics, features, interface requirements, data contracts, mapping needs, acceptance criteria, and delivery plans.
• Own shared integration backlog: Maintain and refine the backlog for enterprise Data Streams, Data Lake Objects, batch data transforms, identity and harmonization dependencies, calculated insights, and reporting models.
• Plan pipeline delivery: Scope pipeline work and cross‑space reporting models during backlog planning; prepare Data Stream, Data Lake Object, and Enterprise Analytics Space mappings for PI planning.
• Establish reusable patterns: Partner with architects and the IT Center of Excellence to define common ingestion, transformation, error‑handling, observability, testing, and deployment patterns.
• Coordinate cross‑space dependencies: Align enterprise Data Cloud work with Data Space Product Owners, source‑system owners, governance, architecture, analytics, and scrum teams; surface sequencing and capacity trade‑offs.
• Lead build and lifecycle management: Guide the development and ongoing maintenance of Data Streams, Data Lake Objects, batch data transforms, and cross‑space calculated insights from design through production support.
• Assure data quality and reliability: Define and validate data quality, reconciliation, lineage, refresh, monitoring, and operational support expectations for shared integrations.
• Measure and communicate performance: Track pipeline delivery health, reliability, reuse, data quality, and adoption; communicate risks, decisions, and outcomes to platform leadership and stakeholders.

KPI /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.

Requirements

• 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 evi

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

Pay Rate: $80/hour - $100/hour W-2 Only (based on Education/Experience)

Contract: 12-month

Health, dental, vision, 401k (provided minimum eligibility hours are met)

Why Novartis

Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?

EEO Statement

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Accommodation

If you require reasonable accommodation in completing this application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please direct your inquiries to Magnit at [e-mail].