Director, Data & AI Product Management

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the internal data and AI product portfolio, encompassing strategy, roadmap, sequencing, investment priorities, and lifecycle decisions.

• Lead and mentor Data & AI Product Owners.

• Head the Data & AI Innovation and Ideas Committee.

• Establish meeting agendas, oversee intake and prioritization, document decisions, and present funding requests or escalations to senior leadership.

• Transform approved concepts into actionable delivery plans with designated owners, timelines, success metrics, adoption strategies, and governance checkpoints.

• Define and monitor adoption metrics such as eligible-user activation, recurring active usage, license utilization, and depth of use.

• Document and evaluate value realization, which includes hours saved, productivity enhancements, revenue support, and cost avoidance.

• Utilize product data, stakeholder insights, and business outcomes to assess what should be scaled, enhanced, or retired.

• Collaborate with Operating Group leaders to secure sponsorship, engage early users, facilitate rollout, and identify adoption challenges.

• Work alongside engineering, data platform, architecture, and security teams to deliver sustainable, governed, and scalable products.

• Oversee product-related budget considerations, platform consumption, licensing expenses, implementation efforts, and cost per active user.

• Collaborate with governance, privacy, security, and client-facing stakeholders during the product design phase.

⛳️ Requirements

• A minimum of ten years of experience in product management, product ownership, or a related field.

• At least three years of experience leading product managers or product owners.

• Proven track record of delivering enterprise data, analytics, automation, or AI-enabled products for internal business users at scale.

• Experience in defining adoption metrics, value measures, and reporting methods that connect product usage to business outcomes.

• Familiarity with modern data platforms, lakehouse architecture, governed data environments, or related enterprise analytics capabilities.

• Experience with operational, financial, project, or enterprise resource planning data, including data quality and reconciliation.

• Practical experience in change management, including rollout planning, stakeholder enablement, training, feedback loops, and ongoing adoption support.

• Experience in managing product investment decisions, budgets, vendor or platform costs, or funding recommendations.

• A bachelor's degree in a technical, quantitative, business, or related discipline, or equivalent experience.

• Excellent written and verbal communication skills.

• Preferred: experience in environments with heightened governance, security, privacy, or regulatory expectations.

• Preferred: experience delivering applications on Databricks Apps or equivalent embedded analytics/internal application platforms.

• Preferred: experience in building or utilizing a metric layer, semantic layer, or shared data model.

• Preferred: experience in a federated or multi-entity organization.

• Preferred: background in data engineering, analytics, business intelligence, product operations, or software delivery.

🏝️ Benefits

• Performance-based bonus.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) with company match.

• Paid time off.

• Company holidays.

• Wellness programs.

• Employee assistance resources.

• Professional development support.