Note: The job is a remote job and is open to candidates in USA. Salas O’Brien is an employee-owned engineering and professional services firm focused on delivering integrated engineering and consulting solutions. The Director, Data & AI Product Management will lead the internal data and AI product portfolio, set strategy and roadmaps, manage product owners, guide investment decisions, and ensure measurable adoption, governance, and 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, setting clear expectations for product discovery, execution, adoption, value measurement, and stakeholder communication
- Lead the Data & AI Innovation and Ideas Committee by setting agendas, managing intake and prioritization, documenting decisions, and bringing funding requests or escalations to senior leadership with clear recommendations
- Convert approved ideas into delivery plans with named owners, timelines, success measures, adoption plans, and governance checkpoints
- Define and track adoption measures that reflect meaningful usage, including eligible-user activation, recurring active use, license utilization, and depth of use
- Own value realization by documenting hours saved, productivity improvements, revenue support, or cost avoidance using methods that Finance can validate
- Use product data, stakeholder feedback, and business outcomes to decide what scales, what needs improvement, and what should be retired
- Partner with leaders across Operating Groups to secure sponsorship, recruit early users, support rollout, and understand adoption barriers before assuming the solution
- Work closely with engineering, data platform, architecture, and security partners to ensure products are built on sustainable, governed, and scalable foundations
- Manage product-related budget considerations, including platform consumption, license spend, implementation effort, and cost per active user where applicable
- Partner early with governance, privacy, security, and client-facing stakeholders so product requirements are understood during design rather than after launch
Skills
- You have led a product portfolio, not just a single product, and have managed product managers or product owners
- You define outcomes and measurement approaches before launch rather than reconstructing value after the fact
- You are fluent enough in data, analytics, and AI-enabled product delivery to challenge plans, ask practical questions, and make informed tradeoffs
- You can navigate senior stakeholder conversations with sound judgment, clear recommendations, and a bias toward responsible progress
- You are comfortable making scope, sequence, and retirement decisions when the evidence supports them
- Ten or more years of product management, product ownership, or related experience, including 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 that connect product usage to business outcomes
- Working knowledge of modern data platforms, lakehouse architecture, governed data environments, or related enterprise analytics capabilities
- Experience working with operational, financial, project, or enterprise resource planning data, including the data quality and reconciliation work needed to build trust
- 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 for senior leaders
- Bachelor's degree in a technical, quantitative, business, or related discipline, or equivalent experience
- Strong written and verbal communication skills, including the ability to translate technical product decisions into business language
- This position is remote within the United States, with occasional travel expected for leadership meetings, product planning sessions, governance discussions, or business engagement as needed
- Preference may be given to candidates with experience in environments with elevated governance, security, privacy, or regulatory expectations, including government contracting, healthcare, financial services, critical infrastructure, or other controlled-data settings
- Experience delivering applications on Databricks Apps or an equivalent embedded analytics or internal application surface
- Experience building or using a metric layer, semantic layer, or shared data model that multiple products consume
- Experience in a federated or multi-entity organization where adoption is earned through sponsorship, enablement, and demonstrated value
- Background as a practitioner in data engineering, analytics, business intelligence, product operations, or software delivery
Benefits
- Performance-based bonus
- Medical, dental, and vision insurance
- 401(k) with company match
- Paid time off and company holidays
- Wellness programs and employee assistance resources
- Professional development support
Company Overview