Director, Product Group Engineering Lead (Data and AI/ML)

Director, Product Group Engineering Lead (Data and AI/ML)

R5427

Location

Toronto

Career Track

Analytics & Data Science

Director, Product Group Engineering Lead (Data and AI/ML)

This role is eligible for our hybrid work model: Two days in-office.

This job posting is for an existing, currently vacant position.

Director, Product Group Engineering Lead (Data and AI/ML)

Our Data team is where smart solutions get created for the company. We build machine learning powered products that provide a core competitive edge over our competitors and they also contribute to the success of our business partners. We take pride in being excellent at our craft and employing our skills to the benefit 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:

Delivering intelligent, real-time insights into customer behavior, preferences, and business performance is central to how Priceline personalizes experiences and optimizes outcomes. This role leads the engineering vision and execution for the Customer & Business Insights Platform, powering personalization, experimentation, analytics, and AI-driven decision systems at scale. From large-scale customer data processing to experimentation frameworks and insight generation, you’ll design and evolve the platforms that transform data into strategic advantage.

In this role you will get to:

  • Define and execute the technical strategy for Priceline’s Customer & Business Insights platform — a unified ecosystem for customer data, experimentation, and intelligence.

  • Lead multiple global engineering teams delivering highly available, privacy-compliant data products that serve analytics, personalization, and machine-learning use cases.
    Architect and scale end-to-end pipelines for customer profiles, behavioral data, and real-time insights that drive actionable intelligence.

  • Collaborate closely with product, data science, and ML platform teams to deliver reusable components that accelerate innovation and experimentation velocity.

  • Champion data quality, observability, and governance, ensuring all insight products meet enterprise standards for trust, accuracy, and compliance.

  • Drive engineering excellence, automation, and continuous improvement across delivery pipelines — focusing on scalability, performance, and developer productivity.

  • Mentor, coach, and grow talent within distributed engineering teams, fostering a culture of curiosity, collaboration, and accountability.

  • Engage with leadership and stakeholders across marketing, product, and analytics to align technical priorities with Priceline’s personalization and business-insight goals.

Who you are:

  • 10 + years of experience in software or data engineering, with at least 5 years leading teams that build large-scale data or AI/ML platforms.

  • Proven expertise in data architecture, streaming pipelines, data modeling, and experimentation frameworks (GCP preferred).

  • Demonstrated success in building customer 360 or analytics platforms that deliver real-time insights and personalization.

  • Hands-on experience with modern data technologies (BigQuery, Dataflow, Dataproc, Vertex AI, Spark, Kafka, Airflow / Composer, dbt, etc.).

  • Strong understanding of data privacy, governance, and compliance principles (GDPR, CCPA, PII handling).

  • Excellent collaborator who thrives in cross-functional environments and can translate complex data solutions into business impact.

  • Strategic thinker with the ability to balance long-term platform vision with near-term delivery.

  • Embodies Priceline’s core values: Customer, Innovation, Team, Accountability, and Trust — achieving the right results, the right way

  • 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 is 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 $170,000 to $200,000K CAD

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