Product Manager
Summary
A forward-deployed Lead Product Manager owns delivery for a two-engineer pod embedded with a top-tier consulting firm's enterprise AI initiative: running discovery with executive stakeholders, translating business goals into data requirements, managing the technical backlog and agile sprints, and driving adoption in executive reviews. Core work centers on enterprise data products (data warehouses,
Job Summary:
We are seeking a Lead Forward-Deployed Product Manager to drive delivery on the ground. You will lead a dedicated, forward-deployed pod consisting of yourself and two engineers working alongside senior consulting partners. This is a technical product role with true delivery accountability—you will own stakeholder alignment, define metric definitions and data roll-ups, manage the technical backlog, and drive product adoption directly within executive operating reviews.
Tasks and Deliverables:
Conduct deep discovery with executive stakeholders and data owners to translate high-level business goals into precise 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 the client’s executive leadership and operating reviews.
Serve as the feedback loop between client on-site requirements and the central product/engineering organization to inform the core platform roadmap.
Requirements
- 5+ years of experience in product management, technical program management, or leading forward-deployed/solutions engineering teams.
- Proven track record of shipping data products built on enterprise architectures (data warehouses, ERP, CRM, BI).
- Strong stakeholder management skills.
- Strong focus on stakeholder management and requirements gathering for complex enterprise software deployments.
Nice to Have
- Background in management consulting or technical client-facing solution delivery.
- Technical background with 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 (EHR, claims, scheduling, revenue cycle) or the Entertainment industry.
- Experience shipping AI/LLM production systems to enterprise users.
Engagement Highlights
- Full-time commitment (40 hours/week) for an initial 3 months contract with strong potential for long-term project renewal.
- High-visibility strategic leadership role embedded within a top-tier management consulting firm’s enterprise AI initiative.
Skills
As published by workable · 8 questions · 1 written answer
Basics
First name, Last name, Email, Phone, Address, Resume
Pick from a list (7)
- Are you willing to work on full-time commitment (40 hours/week) for an initial 3 months contract with strong potential for long-term project renewal?
- Are you legally authorized to work in US?
- Do you have 5+ years of experience in product management, technical program management, or leading forward-deployed/solutions engineering teams.
- Have you directly managed the delivery of an enterprise software or data product involving integrations with systems such as ERP, CRM, data warehouses, or BI platforms?
- Have you directly gathered requirements from senior executives or business leaders and translated them into technical specifications for an engineering team?
- Which of the following best describes your current US work authorization?
- What is your preferred location for working onsite?
Written answers (1)
- What is your expected hourly rate (USD) for this contract engagement?