Summary/objective

The Associate Product Manager (APM) is an entry point into the product management track, designed for individuals transitioning from business analysis, data, or technical roles, or early in their product career. This APM is dedicated to Project Atlas, isolved’s multi-year modernization of its core HCM platform, which breaks monolith data into domain services and replaces direct database access with production APIs.

Rather than owning a traditional feature backlog, the APM helps prove the new architecture by defining and coordinating focused, concrete deliverables that bring Atlas engineering, the data team, and reporting teams together around real use cases. The APM also serves as the bridge between Atlas and the product teams that will consume its data, understanding their needs ahead of each data domain release and bringing evidence-based recommendations on priority and sequencing. The role reports to the Director of Product Management for the Scalability Pod (Data, AnalyticsReporting) and works primarily embedded with Project Atlas.

Core Job Duties

• Identify, scope, and coordinate proof-point deliverables (for example, a report built on a newly released data service) that test and validate Atlas architecture with real data and real teams
• Rally engineering, data, and reporting teams around shared deliverables; turn open-ended architecture discussions into specific, answerable questions
• Partner with consuming product teams ahead of each Atlas data domain release to understand how they will use the data and what they need first
• Synthesize consumer needs into clear recommendations on data domain priority and sequencing, and present them to Atlas and product leadership
• Define requirements, user stories, and acceptance criteria for proof-point deliverables in partnership with engineering
• Track cross-team dependencies and surface blockers early, escalating when needed
• Document outcomes, decisions, and lessons learned from each proof point so they can be reused by future teams
• Use AI tools to accelerate analysis, requirement drafting, and synthesis
• Contribute to Atlas program communications and stakeholder updates
• Be a flexible and supportive team member, assisting with other responsibilities as they arise

Job Complexity

A seasoned, experienced professional with a full understanding of area of specialization. Emerging understanding of broader organizational context and goals. Resolves a wide range of issues in creative ways. This job is the fully qualified, career-oriented, journey-level position.

Interaction

Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Networks with senior internal and external personnel in own area of expertise.

Supervision

Normally receives little instruction on day-to-day work, general instructions on new assignments.

Experience

Typically requires a minimum of 3–5 years of related experience with a Bachelor’s degree; or equivalent work experience.

Minimum Qualifications

• 3+ years of product management experience, or equivalent experience in business analysis, data analysis, or a related technical role with direct involvement in defining requirements and working with engineering teams
• Working data fluency: able to read data models and SQL, and comfortable discussing APIs, data pipelines, and data dependencies with engineers
• Demonstrated ability to align teams with different priorities around a shared goal without direct authority
• Experience defining technical requirements, user stories, and acceptance criteria
• Strong discovery and synthesis skills; able to tell stated requests apart from underlying needs and support recommendations with evidence
• Familiarity with Azure DevOps, Asana, AirFocus, and agile development workflows
• Experience or interest in AI prompting for specs, analysis, or prototyping
• Excellent written, verbal, and PowerPoint communication, including presenting to senior leaders
• Comfort with ambiguity and long-horizon programs; adapts quickly to shifting priorities while staying productive
• Proactive self-starter looking to grow into a strategic product role
• Highly collaborative and not afraid to ask questions or respectfully challenge ideas
• Growth mindset with openness to feedback and commitment to continuous improvement

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