Product Manager

Creative Chaos•Waltham, MA

About The Position

We are seeking a Lead Forward-Deployed Product Manager to drive delivery on the ground. The role leads a dedicated forward-deployed pod consisting of the Product Manager and two engineers, working alongside senior consulting partners. This is a technical product role with delivery accountability, owning stakeholder alignment, metric definitions and data roll-ups, technical backlog management, and product adoption within executive operating reviews. The position involves deep discovery with executive stakeholders and data owners to translate business goals into source-system queries, data tables, and feeds. The Product Manager writes technical requirements, prioritizes and manages the backlog, runs agile sprints, manages day-to-day client relationships, and serves as the feedback loop between on-site client requirements and the central product and engineering organization. The engagement is a full-time commitment of 40 hours per week for an initial three-month contract, with strong potential for long-term project renewal. It is a high-visibility strategic leadership role embedded within a top-tier management consulting firm’s enterprise AI initiative.

Requirements

  • At least 5 years of experience in product management, technical program management, or leading forward-deployed or solutions engineering teams.
  • Proven track record of shipping data products built on enterprise architectures, such as data warehouses, ERP, CRM, and BI.
  • Strong stakeholder management skills.
  • Strong focus on stakeholder management and requirements gathering for complex enterprise software deployments.

Nice To Haves

  • Background in management consulting or technical client-facing solution delivery.
  • Hands-on proficiency in SQL and data modeling to evaluate architecture and validate engineering output.
  • Hands-on experience with modern cloud data platforms, specifically Snowflake.
  • Domain expertise in Healthcare/Medical Services, including EHR, claims, scheduling, or revenue cycle, or in the Entertainment industry.
  • Experience shipping AI/LLM production systems to enterprise users.

Responsibilities

  • Conduct deep discovery with executive stakeholders and data owners, translating business goals into source-system queries, data tables, and feeds.
  • Write detailed technical requirements, manage and prioritize the backlog, and run agile sprints for a forward-deployed pod of two engineers.
  • Own day-to-day client relationship management and executive stakeholder alignment in partnership with the consulting team.
  • Drive product adoption by embedding platform outputs directly into client executive leadership and operating reviews.
  • Relay on-site client requirements to the central product and engineering organization to inform the core platform roadmap.
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