Data Cloud Integration Product Manager

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.

• Key Performance Indicators:

  • 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.

Qualifications:

• 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 Qualifications:

• 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.

Benefits:

Healthcare Insurance: Synectics offers eligible employees and their dependents healthcare coverage through BlueCross BlueShield of Illinois. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics. Premiums are subsidized by Synectics.

Dental Insurance: Synectics offers eligible employees and their dependents a dental plan through MetLife. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics.

Vision Insurance: Synectics offers eligible employees vision insurance through VSP. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics.

401(k) Plan: The Synectics Inc. Investment Savings Retirement Plan. Synectics offers all employees who are 21 years of age or older the opportunity to invest in the 401(k) Plan on the first of the month following at least 1 calendar year after employment begins.

Synectics is an equal opportunity employer.

Salary : $80 - $100