Note: The job is a remote job and is open to candidates in USA. Lumenalta partners with healthcare organizations to engineer scalable, compliant, and data-driven platforms using modern cloud and CRM technologies. The Senior Salesforce Data 360 Technical Product Manager will lead discovery, requirements, stakeholder alignment, and delivery coordination for a Salesforce Data Cloud initiative, while guiding technical discussions about data flows, integrations, and solution design without writing code.
Responsibilities
- Lead discovery with business and operational stakeholders to surface needs, data sources, and constraints, often before those needs have been clearly articulated
- Translate business needs into clear requirements, user stories, and acceptance criteria the delivery team can act on
- Own the cross-platform data picture: how data flows from Snowflake or AWS into Salesforce Data Cloud, where it breaks down, and what that means for scope and sequencing
- Partner with Salesforce architects and engineers on solution design, contributing to decisions on data models, integration patterns, and DataOps practices rather than owning implementation directly
- Track and report delivery status and metrics, and coordinate user testing, keeping testing progress, results, and follow-ups visible to everyone
- Coordinate a small cross-functional delivery team: sequencing work, tracking dependencies, surfacing risks early, and clearing blockers
- Act as a primary point of contact for client stakeholders, running working sessions, managing expectations, and keeping everyone aligned as priorities move
- Fill gaps. When work falls between roles, a decision that needs a driver, documentation nobody owns, a follow-up that would otherwise be dropped, you pick it up
- Maintain lightweight, useful documentation: requirements, decisions, solution summaries, and status
Skills
- Senior, substantial experience on Salesforce Data 360 (Data Cloud) programs
- Strong Salesforce Data Cloud depth: data streams, data lake objects, data modeling, identity resolution, and integration or ETL/ELT patterns. Enough to lead technical discussions with architects and engineers. Writing code is not expected
- Cross-platform data fluency: a practical understanding of how data moves from Snowflake or AWS into Salesforce
- Hands-on AI experience, including working with Claude and understanding how it connects to systems such as Salesforce and Snowflake
- Practical experience with MCP connectors
- Familiarity with headless Salesforce Data Cloud and the AI use cases built on top of it
- Exceptional communication skills. You can hold a room of executives and a room of engineers, and translate cleanly in both directions
- Strong stakeholder management across cross-functional teams
- Experience tracking delivery status, metrics, and user testing
- A proactive ownership mindset
- This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules
- This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday
- 5+ years of experience as a Technical Product Manager, Technical Project Manager, or Scrum Master, ideally in software or data-driven projects
- In-person time with the client or team is nice to have, roughly once per quarter
- Experience in healthcare or another regulated, data-sensitive environment, including HIPAA and PHI handling, is a plus
- Exposure to Salesforce AgentForce is a plus
Benefits
- Flexible working hours in a remote environment.
- Health insurance (medical and dental) for W2 Employees.
- 401K Contribution.
- A professional development fund to enhance your skills and knowledge.
- 15 days of paid time off annually.
- Access to soft-skill development courses to further your career.
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