Data & AI Product Manager

Haag, a Salas O'Brien Company•,

1d•$145,000 - $165,000•Remote

About The Position

The Data & AI Product Manager will help shape the strategy, roadmap, requirements, adoption, and business value for a defined Data & AI product. This product management role is a great opportunity for someone who enjoys building practical, high-impact products with enterprise scope, multiple stakeholders, or direct revenue impact. In this role, you will help shape what gets built, guide priorities, partner closely with the engineering pod, and support adoption so the product delivers meaningful, measurable value. This is a hands-on product role for someone who enjoys moving between strategy and execution. You may write requirements, participate in refinement, lead demos, work through data quality questions with business partners, and share product progress with leadership or governance groups.

Requirements

Seven or more years of experience in product ownership or product management, including data, analytics, or AI products delivered to production.
Experience creating clear backlogs, requirements, and acceptance criteria that help engineering and business stakeholders stay aligned.
Working SQL skills and practical familiarity with modern data platform concepts, such as lakehouse architecture, layered data models, and data quality management.
Experience defining product success metrics and sharing progress with leadership in a way that connects product performance to business value.
Experience working with stakeholders across independent business units or lines of business where priorities may differ.
Experience supporting an agile delivery cadence with an engineering team.
Bachelor's degree in a technical, quantitative, or business discipline, or equivalent experience.
Strong written and verbal communication skills.
Demonstrated experience leading a product, not just a project, with the ability to explain prioritization decisions and tradeoffs.
Ability to create requirements that are clear and actionable for both technical and business partners.
Comfort working with data, including using SQL, understanding model evaluation concepts, and helping teams distinguish technical defects from unclear or undocumented business rules.
Ability to understand user needs, advocate for product direction with senior stakeholders, and adjust course when stronger evidence supports a change.

Nice To Haves

Experience in architecture, engineering, construction, or professional services, particularly with systems related to project accounting, resource planning, or design tooling.
Experience leading a product that was commercialized externally or included regulatory or governance obligations.
Hands-on experience with Databricks, Unity Catalog, or a comparable governed data platform.
Experience with generative AI product patterns, including retrieval, evaluation, and human review workflows.
Prior experience as a data engineer, analyst, or software developer.
Experience introducing a product in an organization where adoption depended on user engagement, enablement, and demonstrated value.

Responsibilities

Shape the product vision and roadmap, keeping both current as business needs and platform capabilities evolve.
Manage and prioritize the backlog, and write clear requirements that help engineering teams deliver high-quality work efficiently.
Make thoughtful prioritization decisions, including what moves forward now, what waits, and what may not be built, while helping stakeholders understand the tradeoffs and rationale.
Guide the delivery cadence with the engineering pod, including refinement, sprint planning, reviews, and follow-through on key action items.
Define success measures early and create practical ways to report adoption, value, and product performance with confidence.
Support product adoption by engaging early users, partnering with the Communications & Education team on enablement, and identifying barriers to use.
Build trusted relationships with stakeholders across business units, including groups with different needs, priorities, or levels of readiness.
Help guide the product through governance and incorporate design controls into the product from the start.
Share product progress, investment considerations, and recommendations with leadership and governance committees in a clear, practical, and business-oriented way.
Provide product direction and team leadership for the engineering pod assigned to the product, including input into hiring, development planning, performance, and day-to-day execution.