Product Manager, Data / AI ML

About the Role

As a Product Manager (PM) within the Product Operating Model (POM), you will own the product strategy and delivery for the Enterprise Data Lake & Data Warehouse and Data Privacy & Governance teams within the Data & AI/ML portfolio. Your primary focus will be on defining, prioritizing, and delivering products or capabilities that effectively solve customer problems and achieve measurable business outcomes. You will be accountable for the success of your product, working closely with engineering, other PMs, and business stakeholders. This role requires balancing customer needs, business goals, and technical feasibility to ensure your product generates real value.

Responsibilities

• Product Discovery & Strategy: Understand customer needs through research, data analysis, and feedback loops. Define the product vision, goals, and outcomes in alignment with group and portfolio strategy. Translate internal customer needs into platform capabilities and technical roadmap priorities.
• Outcome Ownership: Define, track, and deliver against product OKRs and KPIs. Balance customer-facing features, technical debt, and enabler work within your product backlog. Continuously evaluate whether product initiatives are driving intended value.
• Backlog Management & Prioritization: Own the product backlog, ensuring work is clearly defined, prioritized, and sequenced. Write clear product requirements, user stories, and acceptance criteria. Partner with engineering and product leads to assess feasibility, estimate effort, and refine scope.
• Planning & Execution: Lead quarterly and sprint planning for your product team. Ensure dependencies are identified, managed, and communicated. Participate in demos, standups, and retrospectives to support delivery progress. Drive execution on foundational data platform initiatives in partnership with engineering and architecture teams.
• Technical Collaboration: Partner closely with data engineers and enterprise/solution architects to shape technically sound, scalable product solutions. Translate complex platform capabilities—such as data streaming standardization, data pipeline ownership, and governance policies—into clear requirements and well-defined outcomes. Serve as the connective tissue between technical teams and business stakeholders, ensuring platform investments are understood and valued across the organization.
• Stakeholder Alignment & Communication: Communicate product vision, priorities, and progress to stakeholders. Partner with business sponsors, portfolio managers, and cross-functional teams to align on outcomes. Act as the voice of the customer and advocate for value delivery in decision-making. Make the value of foundational platform work legible to non-technical stakeholders—connecting infrastructure investment to tangible business outcomes.

Requirements

• At least 3-4 years of experience in Product Management, demonstrating ownership of a product's success, including defining vision, setting priorities, and ensuring delivery creates real impact.
• A strong technical foundation, gained through prior engineering, data, or analytics experience, enabling deep conversations with data engineers and solution architects while maintaining focus on product outcomes.
• Understanding of modern data infrastructure concepts, including distributed systems, data pipeline design, streaming architectures, and governance frameworks.
• Familiarity with Google Cloud Platform (GCP), particularly BigQuery and Bigtable, is a significant advantage.
• A skilled communicator, capable of translating complex platform capabilities and articulating their value clearly to non-technical business stakeholders and senior leadership.
• Sharp instinct for internal product management, recognizing that other teams (business portfolios and platform groups) are your customers and their success is your success metric.
• Natural collaboration with adjacent teams across the data portfolio to align on shared dependencies and avoid duplication.
• Highly organized, self-directed, and outcomes-focused, comfortable making prioritization trade-offs between foundational enabler work, technical debt, and customer-facing capabilities.
• Demonstrated history of embodying Priceline's values: Customer, Innovation, Team, Accountability, and Trust.
• Unquestionable integrity and ethics.