Talent Technology Program Manager

## Talent Technology Program Manager Apply locations: AMER
- Canada
- Ontario
- Toronto
- University Ave:
Toronto, ON, CAN:
Ontario, CAN
- Remote time type:
Full time posted on:
Posted Yesterday job requisition
** Job

Requisition  #
** 26WD98179
* * Position Overview
** The Autodesk Talent organization is seeking a Technology Program Manager to drive the strategy, prioritization, and optimization of talent technology solutions that support hiring, development, and mobility outcomes—including a focus on accelerating AI-enabled capabilities.

Reporting to the Talent Chief of Staff you will work within the Talent organization (including talent acquisition, talent development, onboarding and global mobility) and partner closely with Enterprise Systems (ESE) and People Insights & Solution Design (PISD) teams. You will ensure that systems, agents and data are effectively leveraged to drive end-to-end Talent workflows, best in class candidate and employee experience, AI enablement, and business impact.

We are open to remote candidates based in Canada.
** Responsibilities:
*** Own the holistic technology product portfolio that supports talent acquisition, talent development, and global mobility
* Define and manage the product roadmap and backlog, making prioritization trade-offs to maximize platform effectiveness, scalability, in partnership with Talent operations, Talent Development, ESE (systems) and PISD (data & insights)
* Drive full product lifecycle management from discovery and design through launch and continuous optimization ensuring return on technology investment
* Own Talent technology requirements, ensuring systems, integrations, and in-platform processes are scalable, well-architected, and aligned to operational needs
* Represent the voice of the user (candidates, employees, managers, Talent practitioners) to inform product decisions, technology-enabled workflow design, and experience improvements
* Drive adoption, engagement, and measurable value realization (efficiency, quality, candidate & employee experience) across Talent technology investments
* Act as the primary Talent-facing product owner for technology solutions, aligning stakeholders and translating business needs into clear priorities for PISD, ESE and vendors
* Partner with PISD to leverage data and insights to inform decisions, measure impact, and drive continuous improvement
* Enable and scale responsible AI capabilities within Talent technology platforms and workflows aligned to the central PPL AI roadmap
* Execute data governance and security policies (e.g., data retention, access controls, compliance) within Talent systems in alignment with Trust & Security and PISD
* Stay current on HR technology and AI trends to inform strategy and innovation
* Partner with enablement, change management, and communications teams to drive adoption and sustained usage
* Partner with procurement and legal teams as the Talent organization point of contact for technology vendor contract timelines and renewal negotiations or deprecation aligned to roadmap
** Minimum Qualifications
*** Bachelor’s degree in Business, Human Resources, Information Systems, or a related field
* 8+ years of experience in HR/talent acquisition technology, program management, product management, or technology strategy, preferably within enterprise SaaS environments
* Demonstrated experience driving technology-enabled business outcomes in a cross-functional environment
* Strong ability to translate business needs into prioritized requirements and work effectively with technical and data partners
* Experience working with Talent or HR technology platforms (e.g., LMS, HCM, performance management, or talent marketplaces)
* Strong analytical and problem-solving skills, with the ability to leverage data and insights (in partnership with analytics teams) to inform decisions
* Excellent stakeholder management and communication skills, with the ability to influence across functions and levels
* Ability to operate independently, navigate ambiguity, and drive clarity in complex environments
* Experience applying AI/ML-enabled features or tools within enterprise platforms or workflows (e.g., automation,…