Salesforce Product Manager
Posted Updated
Description
- Own and deliver a defined product area: Lead end-to-end delivery of assigned data-centric capabilities, such as platform & data integrations, data ingestion, transformation, and unified customer profile management, and enabling CRM capabilities & workflows, from discovery through release, hypercare, enhancements, and ongoing maintenance.
- Translate business needs into requirements: Collaborate with stakeholders to gather and document requirements for new data use cases, translating business needs into clearly scoped features, epics, and delivery plans.
- Support data modeling: Analyze existing customer and operational data sources to support unification, identity resolution, and schema design decisions for new use cases.
- Partner with Data Foundations: Work with data engineers and architects to define and validate data models, ingestion flows, and harmonization logic; support the creation of user stories and functional requirements for technical teams.
- Enable activation: Work with the scrum team and data analysts to design and validate segments, calculated insights, and data activation strategies in alignment with business needs.
- Manage and refine the backlog: Maintain a healthy, prioritized backlog fed by customer demand (refinement cadence, dependencies, definition of ready/done) aligned to sprint and roadmap planning.
- Drive prioritization: Continuously prioritize and de-prioritize backlog items with the Director based on platform capacity, strategic alignment, and cross-functional trade-offs, and communicate decisions to stakeholders.
- Partner across business and IT: Coordinate with CRM product managers, architecture, analytics, privacy/legal, and commercial/medical stakeholders to align on requirements, sequencing, and release readiness.
- Represent CRM in platform planning: represent CRM function needs in platform-level planning, architecture discussions; partner with the Director and other function product managers to ensure coherent, platform-wide decision-making.
- Lead and manage the scrum team: lead a dedicated scrum team through sprint ceremonies, backlog grooming, and capacity planning; remove blockers, manage dependencies, and protect team velocity and morale.
- Ensure delivery quality: work closely with engineering, QA, and data teams throughout the development lifecycle to ensure predictable, high-quality delivery.
- Mentor and coordinate delivery resources: Provide day-to-day direction to extended team members (e.g., analysts, contractors) and contribute to capability building across the product owner community.
- Support change enablement and adoption: Partner with training and communications leads to ensure releases are understood, adopted, and measured; incorporate feedback into iterative improvements.
- Measure and communicate impact: define KPIs and success metrics for this scope, track use case coverage, adoption, and delivery health, and surface insights to leadership and stakeholders regularly.
- Maintain platform and domain awareness: Stay current on CRM platforms (e.g., Salesforce, Veeva), customer data management, and evolving best practices; apply learnings pragmatically within the ecosystem.
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Key Performance Indicators |
- Value delivered: Demonstrate measurable outcomes for delivered use cases (e.g., time saved, improved data quality, increased engagement) aligned to agreed KPIs.
- Backlog health: Maintain an actionable, prioritized backlog with clear user stories and acceptance criteria; manage dependencies and technical debt transparently.
- Release predictability and quality: Deliver on committed release timelines and scope with strong quality (defect rates, post-release stability, support volume).
- Use case coverage and adoption: Track adoption and satisfaction of delivered use cases across CRM functions (usage analytics, stakeholder feedback/CSAT).
- Stakeholder alignment: Achieve timely decisions and alignment across CRM function stakeholders; minimize rework through strong discovery and clear documentation.
- Prioritization discipline: Make and communicate prioritization trade-offs under competing demand and platform capacity constraints.
- Team effectiveness: Receive strong feedback from the scrum team and stakeholders on clarity, collaboration, and execution.
- Operational rigor: Maintain accurate documentation, decision logs, and delivery reporting to support transparency and operational excellence.