Technical Program Manager, Machine Learning (Vancouver)

Technical Program Manager, Machine Learning (Vancouver)

25 Oct
|
randstad canada
|
Vancouver

25 Oct

randstad canada

Vancouver

Our client, is seeking an experienced, highly strategic Staff Technical Program Manager to lead a large-scale product-data modernization and enterprise transformation initiative. In this Staff-level leadership role, you will serve as the primary connective tissue across Global Product Technology, driving alignment and integrated execution across Product Management, Software Engineering, Architecture, Data Engineering, Quality Engineering, Change Management, and business leadership. Operating across a complex, multi-platform ecosystem- Including PLM/PLIM systems, Anaplan applications, ODS/Snowflake data lakes, ThoughtSpot, Power BI, machine learning forecasting engines, and downstream enterprise applications—you will translate high-level product hierarchy strategy into synchronized execution roadmaps, manage cross-platform dependencies, establish release readiness governance, and steer executive decision-making.

Duration: 6-Month Contract (Full-time engagement; High-Impact Enterprise Transformation Scope: Direct the execution of a high-visibility, cross-platform product-data modernization initiative impacting global retail technology operations. Operate with high autonomy to shape program governance, influence senior executive decisions without direct authority, and simplify complex technical dependencies. Lead program delivery across up-to-date data and enterprise platforms, including Snowflake, Anaplan, PLM systems, machine learning pipelines, and advanced analytics tools.

Translate enterprise product-data strategy into clear outcomes, integrated roadmaps, critical path sequencing, and cross-platform execution plans across Global Product Technology. Create alignment across Product Management, Engineering, Architecture, Data, Quality Engineering, Change/Training, and business partners, ensuring upstream architectural changes are understood by downstream teams.

Technical Program Architecture: Develop a deep understanding of product hierarchies, data flows, integration patterns, and downstream dependencies; partner with Principal Engineers and Architects on technical sequencing.

Align





Product roadmaps and Engineering delivery schedules into a unified master plan, establishing program operating rhythms without introducing unnecessary administrative overhead. Risk, Dependency & Decision Leadership: Identify systemic delivery risks early, maintain comprehensive RAID logs (Risks, Assumptions, Issues, Dependencies), and drive cross-functional mitigation strategies with clear executive options and recommendations.

Executive Communication & Governance: Author concise, outcome-oriented status briefs and dashboard reports for senior technology executives, converting complex technical issues into business-relevant narratives.

Technical Program Leadership Depth: Significant, proven experience leading large, complex, multi-million-dollar technology programs involving multiple distributed Product, Engineering, and Data teams. Cross-Platform Dependency Management: Extensive experience managing complex technical dependencies across legacy systems, cloud data platforms, integration layers, and analytics pipelines. Strong understanding of modern software engineering practices, cloud data architectures, API integrations, and Agile development delivery models.

Stakeholder Influence & Communication: Exceptional executive communication, storytelling, and negotiation skills, with a demonstrated ability to influence senior leaders without direct authority in ambiguous environments.

Risk Mitigation & Governance: Proven track record establishing program governance frameworks, decision-making mechanisms, and proactive risk resolution pathways. Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Business Administration, or equivalent practical industry experience.





Preferred

Assets & Nice-to-Haves Experience driving enterprise-scale data foundation, product hierarchy, or system modernization programs within Retail, Merchandising, Supply Chain, or Apparel Product Technology domains. Deep familiarity with tools and frameworks including Jira, Confluence, Architecture Governance boards, and cutover release management methodologies. If you are a tech-savvy Staff Technical Program Manager who pairs extensive enterprise program leadership experience with a deep understanding of product-data transformations, multi-platform integrations (PLM, Snowflake, Anaplan), and executive stakeholder alignment, this 6-month contract opportunity is an ideal match.

Bring your program architecture rigor, risk leadership, and collaborative drive to our team today! As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad

Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.

📌 Technical Program Manager, Machine Learning (Vancouver)
🏢 randstad canada
📍 Vancouver

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