Product Manager, Data & AI (Operations and Maintenance)

Role overview

Workplace

• The employer describes a flexible hybrid work environment.

Responsibilities

• Build multi-horizon data and AI roadmaps across airport operations, passenger processing, baggage, disruption recovery, safety, facilities, assets, and maintenance.
• Lead ideation, intake, prioritization, and product discovery with business owners and operational end users.
• Own requirements and the Azure DevOps backlog at Epic and Feature levels, preparing work for design and delivery.
• Partner with delivery teams to resolve scope questions, assess trade-offs, and validate outcomes.
• Ensure decisions and documentation meet security, privacy, responsible AI, architecture, governance, accessibility, safety, and audit requirements.
• Define adoption, product health, and value measures, and lead post-launch reviews.
• Advance the data-as-a-product framework, including ownership, service levels, documentation, quality, and lifecycle stages.
• Develop business cases and ROI assessments, manage budgets, and support partner-facing data and AI offerings.

Qualifications and experience

• At least seven years of progressive experience in product management, product ownership, business analysis, strategy, or adjacent digital and technology work.
• At least four years shaping and managing data, analytics, AI, platform, or technically complex digital products, including those built on operational, asset, or maintenance data.
• Experience in airport, airline, transportation, infrastructure, utilities, or another asset-intensive 24/7 or regulated environment is an asset.
• Success developing roadmaps, business cases, requirements, and prioritized backlogs that deliver measurable outcomes.
• Experience managing products with agile teams through governance, testing, release, support transition, and benefits realization.
• Technical fluency in data engineering, lakehouse and medallion patterns, data modelling, BI, analytics, machine learning, generative AI, APIs, MLOps, and data quality, including streaming, sensor, time-series, and telemetry data.
• Advanced Azure DevOps skills for backlog health, dependencies, readiness, traceability, and documentation.
• Strong judgment, facilitation, negotiation, storytelling, and cross-functional leadership; able to communicate complex decisions to technical and non-technical audiences.
• Bachelor’s degree in business, technology, computer science, engineering, information systems, or a related discipline.
• Ability to obtain and retain the designated Transportation Security Clearance.

Benefits

• Comprehensive benefits include a flexible retirement program with employer matching and voluntary savings options.
• The employer describes a flexible hybrid work environment, ongoing learning opportunities, and a reward and recognition program.