Principal Trust Governance Lead

Autodesk•Toronto, ON

About The Position

The Principal Trust Governance Lead will advance Autodesk’s Trust Governance program by defining and operationalizing the mechanisms that enable teams to build and release trusted services and products. This role will evolve and implement a framework directly informed by Trust policies, standards, and procedures that translates Trust expectations into Trust Baselines (the foundational requirements a product/service must implement to be considered a Trusted Service) and holds teams accountable through accurate measurement. This individual will partner closely with Trust domain teams (Security, Privacy, Resilience, Trusted AI), Product and Platform Engineering partners and stakeholders to drive clarity, consistency, and adoption across portfolios without centralizing delivery. The role requires a systems-oriented program leader who can define practical expectations, create transparent operating cadences, and use measurable signals to drive durable posture improvements.

Requirements

8+ years of experience (or equivalent experience) in one or more: product security, privacy engineering/governance, cloud resilience/SRE, enterprise risk/governance, or trust assurance—with strong cross-functional influence
Demonstrated experience translating policy/standards into clear, adoptable engineering expectations and measurable requirements/baselines
Proven track record building accountability mechanisms in a matrixed organization (ownership models, outcome scorecards, adoption programs, operating cadences)
Strong program leadership and executive communication skills, including crisp reporting of posture, gaps, risks, and actions
Experience supporting audits or operating in regulated environments without turning governance into bureaucracy

Nice To Haves

Strong analytical and systems-thinking skills; able to connect governance intent to measurable outcomes
Experience designing measurement frameworks, dashboards, and evidence readiness approaches for technical programs
Experience working across large-scale product/platform organizations and coordinating across multiple portfolios
Familiarity with governance tooling and workflows that support exception lifecycle management and posture reporting
Working knowledge across cloud security, privacy principles, resilience/SRE practices, and responsible AI/trusted AI concepts

Responsibilities

Evolve and implement a framework to drive the delivery of trusted services and products by deriving Trust expectations directly from Trust Policies, Standards, and Procedures and translating them into Trust Baselines
Define baseline guidance, measurable conformance criteria, and evidence expectations that can be met through repeatable signals (design artifacts, controls, telemetry, testing, and operational readiness)
Establish and maintain measurement and reporting that reflects real adoption and posture—not just process completion—and drive follow-through on gaps and remediation plans
Design and run cross-portfolio cadences that make Trust delivery visible and actionable (e.g., portfolio Trust reviews, baseline adoption reviews, exception burn-down, readiness signals)
Provide leaders with consistent views of Trust posture across portfolios and support prioritization and removal of systemic blockers
Shape and evolve the exception model so it drives accountability through time-bound exceptions, compensating controls, clear owners, remediation plans, and trend reporting
Use exception trends to identify systemic gaps and drive structural fixes (platform capabilities, clarified standards, enablement)
Contribute to keeping the integrated Trust governance architecture current and usable (policy → standards → baselines → exceptions)
Support implementation readiness by helping resolve cross-domain ambiguity surfaced through execution and measurement, and by reinforcing clarity on ownership, measurable criteria, and evidence expectations
Support the enablement of Trust requirements into developer workflows (including AI-assisted coding and CI/CD copilots) so Trust expectations are surfaced earlier and evidenced consistently
Partner with analysts and program leads to identify automation opportunities (e.g., trend detection, anomaly surfacing, actionable insights) and embed them into operating cadences and dashboards
Help define repeatable AI-assisted workflows for governance operations (e.g., drafting baseline adoption guidance, summarizing portfolio signals, generating first-pass exception narratives) with appropriate human review