Director, Data & AI Product Management
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Job Description
Director leading Salas O’Brien’s internal data and AI product portfolio. Setting strategy, managing product owners, and driving adoption and measurable business value.
Responsibilities:
- Own the internal data and AI product portfolio, including strategy, roadmap, sequencing, investment priorities, and lifecycle decisions
- Lead and develop Data & AI Product Owners
- Lead the Data & AI Innovation and Ideas Committee
- Set agendas, manage intake and prioritization, document decisions, and bring funding requests or escalations to senior leadership
- Convert approved ideas into delivery plans with owners, timelines, success measures, adoption plans, and governance checkpoints
- Define and track adoption measures such as eligible-user activation, recurring active use, license utilization, and depth of use
- Document and measure value realization, including hours saved, productivity improvements, revenue support, and cost avoidance
- Use product data, stakeholder feedback, and business outcomes to determine what scales, improves, or retires
- Partner with Operating Group leaders to secure sponsorship, recruit early users, support rollout, and understand adoption barriers
- Collaborate with engineering, data platform, architecture, and security partners on sustainable, governed, scalable products
- Manage product-related budget considerations, platform consumption, license spend, implementation effort, and cost per active user
- Partner with governance, privacy, security, and client-facing stakeholders during product design
Requirements:
- Ten or more years of product management, product ownership, or related experience
- Three or more years leading product managers or product owners
- Demonstrated experience delivering enterprise data, analytics, automation, or AI-enabled products for internal business users at scale
- Experience defining adoption metrics, value measures, and reporting methods connecting product usage to business outcomes
- Working knowledge of 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 change management experience, including rollout planning, stakeholder enablement, training, feedback loops, and sustained adoption support
- Experience managing product investment decisions, budgets, vendor or platform costs, or funding recommendations
- Bachelor's degree in a technical, quantitative, business, or related discipline, or equivalent experience
- Strong written and verbal communication skills
- Preferred: experience in environments with elevated governance, security, privacy, or regulatory expectations
- Preferred: experience delivering applications on Databricks Apps or equivalent embedded analytics/internal application surfaces
- Preferred: experience building or using 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
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