Staff Portfolio Release Manager

This role is eligible for our hybrid work model: 2 days in-office This job posting is for an existing, currently vacant position. Staff Portfolio Release Manager Our Technology team is the backbone of our company: constantly creating, testing, learning and iterating to better meet the needs of our customers. If you thrive in a fast-paced, ideas-led environment, you’re in the right place. Why this job’s a big deal: As a Staff Portfolio Release Manager supporting our Data and AI/ML Platforms within a Product Operating Model (POM), your role centers on orchestrating the successful, predictable, and scalable delivery of platform capabilities that power analytics, experimentation, machine learning, and intelligent customer experiences across Priceline. You will operate at the Platform Product Group level, driving alignment and release coordination across multiple platform teams responsible for data ingestion, self-serve analytics, experimentation frameworks, AI/ML model platforms, business intelligence, and data products. You will ensure releases are delivered with quality, transparency, and operational readiness while continuously evolving release processes to support agility, compliance, and scale. As a staff-level leader, you will serve as a strategic partner to Engineering, Product, Data Science, and Platform leaders, reducing delivery risk and enabling teams to ship platform capabilities with confidence. In this role you will get to: Portfolio Release Planning & Coordination Own and maintain the portfolio release calendar for Data and AI/ML Platforms, coordinating releases across product, engineering, data science, platform, QA, and operations teams. Orchestrate complex, cross-functional releases involving data pipelines, self-service data platforms, experimentation frameworks, business intelligence capabilities, AI/ML model platforms, and platform infrastructure. Ensure releases are aligned to strategic business initiatives, platform roadmaps, seasonal readiness, and enterprise milestones. Drive release readiness reviews, confirming that testing, model validation, documentation, operational runbooks, approvals, and risk assessments are complete. Manage cross-team dependencies and sequencing across multiple portfolios and platform domains. Risk, Governance & Quality Management Identify and proactively manage risks to release quality, timing, platform stability, and rollback readiness. Partner with Engineering, Data Science, SRE, and DevOps teams to establish and enforce release criteria, validation gates, model governance processes, and post-release monitoring. Maintain controls required for compliance, audit, or change management (especially in regulated environments). Cross-Team Communication & Stakeholder Alignment Serve as the central point of coordination for Data and AI/ML Platform releases, connecting Product, Engineering, Data Science, Analytics, Security, Legal, and Operations stakeholders. Communicate release scope, timelines, dependencies, risks, and critical incidents to leadership and partner teams. Partner with Product Managers and Engineering leaders to develop release communications, change advisories, and rollout strategies. Drive alignment across portfolio teams operating within the Product Operating Model (POM), ensuring transparency and accountability. Process Improvement & Automation Continuously improve release management processes, tooling, and reporting to support faster, safer, and more predictable platform releases. Partner with DevOps, SRE, and Platform Engineering teams to advance CI/CD pipelines, release automation, feature flagging, and model deployment processes. Support the organization's transition toward continuous delivery and modern platform engineering practices for data and AI systems. Develop scalable release frameworks and governance models that can be adopted across multiple portfolios and product groups. Metrics & Post-Release Analysis Define, track, and report on release health metrics, including: Deployment frequency Failed deployments Change lead time Change failure rate Mean Time to Recovery (MTTR) Data quality and platform reliability metrics AI/ML model deployment and performance indicators Facilitate release retrospectives and drive continuous improvement initiatives across teams. Assess the operational, business, and customer impact of major platform releases. Who you are: 10+ years of experience in Agile delivery, Technical Program Management, Release Management, or Portfolio Management, with significant experience supporting large-scale data and platform organizations. Deep understanding of how release management integrates into Product Operating Models (POMs) and modern iterative delivery frameworks. Experience leading complex, cross-functional release planning across Data Platforms, Business Intelligence platforms, AI/ML platforms, experimentation frameworks, or analytics ecosystems. Fluent in Agile methodologies and frameworks, including Scrum, Kanban, SAFe, and continuous delivery practices. Proven ability to coordinate dependencies across multiple teams and portfolios while balancing delivery speed with platform stability and operational excellence. Exceptional stakeholder management and communication skills, with the ability to influence leaders across Product, Engineering, Data Science, and Operations. A proactive problem solver who identifies risks and opportunities early and makes sound decisions with incomplete information. A detail-oriented operator who thrives in fast-paced environments and can manage multiple competing priorities. Acts as the bridge between rapid platform innovation and operational reliability, enabling teams to deliver data and AI capabilities with confidence. Nice to have Experience supporting self-serve data platforms, business intelligence platforms, experimentation systems, or AI model platforms. Familiarity with modern data and AI technologies such as Snowflake, Databricks, Kafka, Airflow, dbt, MLflow, Kubernetes, and cloud-based AI services. Experience with AI governance, model monitoring, MLOps, and Responsible AI practices. Proficiency leveraging AI and automation tools to improve reporting, release processes, and operational workflows. Familiarity with Agentic AI technologies and AI-assisted software delivery practices. Understanding of data pipelines, platform dependencies, AI/ML lifecycle management, model deployment processes, and cloud-native architectures. Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability, and Trust. The Right Results, the Right Way is not just a motto at Priceline; it's a way of life. Unquestionable integrity and ethics are essential. There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. In addition to a competitive base salary, certain roles may be eligible for an annual bonus and/or equity grant. The salary range for this position is $135,000- $150,000K CAD. #LI-VM1 #LI-Hybrid Who We Are WE ARE PRICELINE. Our success as one of the biggest players in online travel is all thanks to our incredible, dedicated team of talented employees. Priceliners are focused on being the best travel deal makers in the world, motivated by our passion to help everyone experience the moments that matter most in their lives. Whether it’s a dream vacation, your cousin’s graduation, or your best friend’s wedding - we make travel affordable and accessible to our customers. Our culture is unique and inspiring (that’s what our employees tell us). We’re a grown-up, startup. We deliver the excitement of a new venture, without the struggles and chaos that can come with a business that hasn’t stabilized. We’re on the cutting edge of innovative technologies. We keep the customer at the center of all that we do. Our ability to meet their needs relies on the strength of a workforce as diverse as the customers we serve. We bring together employees from all walks of life and we are proud to provide the kind of inclusive environment that stimulates innovation, creativity and collaboration. Priceline is part of the Booking Holdings, Inc. (Nasdaq: BKNG) family of companies, a highly profitable global online travel company with a market capitalization of over $80 billion. Our sister companies include Booking.com, BookingGo, Agoda, Kayak and OpenTable. If you want to be part of something truly special, check us out! Flexible work at Priceline Priceline is following a hybrid working model, which includes two days onsite as determined by you and your manager (ideally selecting among Tuesday, Wednesday, or Thursday). On the remaining days, you can choose to be remote or in the office. Perks & Benefits at Priceline Our benefits are designed to support your health, wellbeing, and life inside and outside of work. Eligible Priceliners have access to: Health & wellness coverage including medical, dental, vision, and mental health resources Generous time off including PTO, holidays, a company-wide Priceline Pause reset week, and paid volunteer days Work/life support including the ability to work up to 4 weeks per year from anywhere, parental leave, dependent care and family support resources, Summer Fridays, and office perks like stocked kitchens and catered meals (varies by location) Financial security programs such as retirement plans with company contributions, life and disability coverage, and tax-advantaged accounts Signature travel perks including employee-only discounts on hotels and flights, VIP deals, and Big Deal Bucks credits Additional perks & discounts like travel and partner discounts, tuition support, legal support, and pet benefits A people-first culture with Employee Resource Groups (ERGs), social events, recognition programs, and service awards that help you connect, grow, and celebrate together Specific benefits and programs vary by location. Inclusion is a Big Deal! To be the best travel dealmakers in the world, we believe our team should reflect the broad range of customers and communities we serve. We are committed to cultivating a culture where all employees have the freedom to bring their individual perspectives, life experiences, and passion to work. Priceline is a proud equal opportunity employer. We embrace and celebrate the unique lenses through which our employees see the world. We’d love for you to join us and help shape what makes our team extraordinary. Applying for this position We're excited that you are interested in a career with us. For all current employees, please use the internal portal to find jobs and apply. External candidates are required to have an account before applying. When you click Apply, returning candidates can log in, or new candidates can quickly create an account to save/view applications.

The Staff Portfolio Release Manager orchestrates the delivery of platform capabilities across Data and AI/ML portfolios to ensure predictable, scalable, and high-quality releases. This role drives cross-functional alignment, manages release dependencies, and continuously improves release processes within a Product Operating Model.

Candidates must have 10+ years of experience in Agile delivery, Technical Program Management, or Release Management within large-scale data and platform organizations. Strong expertise in coordinating complex, cross-functional releases and influencing stakeholders across Product, Engineering, and Data Science is required.

• Health and wellness coverage • Dental insurance • Vision insurance • Mental health resources • Paid time off • Paid holidays • Parental leave • Retirement plans • Life and disability coverage • Travel discounts • Tuition support • Pet benefits

• CI/CDSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Release management
• Portfolio management
• Agile delivery
• Technical program management
• Stakeholder management
• Data platforms
• AI/ML platforms
• Risk management
• Governance
• CI/CD
• DevOps
• SRE
• Cross-functional leadership
• Strategic planning
• Change management
• Process improvement
• Legal Support
• Compliance Auditing
• Sprint Retrospectives
• Influencing Skills
• Agentic AI
• Cloud-Native Architecture
• Responsible AI
• Pipelines
• Concept Drift Detection
• MLOps (Machine Learning Operations)
• Accountability
• MLflow
• Workflow Management
• Apache Airflow
• Snowflake (Data Warehouse)
• Technology Ecosystems
• Ethical Standards And Conduct
• Planning
• Agile Methodology
• Artificial Intelligence
• Automation
• Mental Health
• Business Intelligence
• Change Management
• Communication
• Quality Auditing
• Continuous Improvement Process
• Continuous Delivery
• Creativity
• Data Quality
• Discounts And Allowances
• Equities
• Family Support
• Leadership

• Technology
• Management & Leadership
• Data & Analytics
• Software
• Engineering
• Lease Portfolio Manager
• Platform Engineer
• Software and Applications Developers and Analysts Not Elsewhere Classified
• Validation Engineers
• Industrial Engineers

Expérience minimale

10+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Présence au bureau

2 jours par semaine