GRC Sr. System Analyst, Governance Risk & Compliance

GRC Sr. System Analyst, Governance Risk & Compliance Tesla is looking for a GRC Senior System Analyst to join our Governance Risk and Compliance team. In this role, you will help with the integration of automation and an agentic approach into our governance and compliance frameworks to drive efficiency and innovation. We are looking for a Governance and Automation Specialist to embed agentic solutions into our governance programs, develop Identity and Access Management (IAM) strategies, identify automation opportunities, and analyze end‑to‑end compliance processes for AI‑driven enhancements for efficiency. This role will bridge technical AI implementation with robust governance practices, ensuring Tesla's operations remain secure, compliant, and scalable. If you excel at leveraging AI for process optimization in high–stakes environments, join us to accelerate responsible AI adoption across Tesla's ecosystem. What to Expect Tesla is looking for a GRC Senior System Analyst to join our Governance Risk and Compliance team. In this role, you will help with the integration of automation and an agentic approach into our governance and compliance frameworks to drive efficiency and innovation. We are looking for a Governance and Automation Specialist to embed agentic solutions into our governance programs, develop Identity and Access Management (IAM) strategies, identify automation opportunities, and analyze end‑to‑end compliance processes for AI‑driven enhancements for efficiency. This role will bridge technical AI implementation with robust governance practices, ensuring Tesla's operations remain secure, compliant, and scalable. If you excel at leveraging AI for process optimization in high‐stakes environments, join us to accelerate responsible AI adoption across Tesla's ecosystem. What You’ll Do Collaborate with engineering and platform teams to integrate agentic AI solutions (e.g., autonomous agents for workflow automation and decision support) into Tesla's governance program, embedding controls, monitoring, and compliance features to align with internal policies and regulatory standards. Support the design and rollout of IAM strategies for business applications, including role‑based access controls, authentication mechanisms, and integration with Tesla's identity systems to ensure secure access while minimizing operational friction. Assess the governance program for automation potential, such as scripting repetitive compliance tasks or deploying AI tools for audit trails, and lead the implementation of these opportunities using Tesla's internal platforms (e.g., Nova agents, Jira, or Confluence) to enhance efficiency without disrupting team timelines. Analyze comprehensive governance and compliance programs across Tesla's operations, identifying bottlenecks and opportunities where AI can drive efficiencies (e.g., predictive risk assessments, automated gap analysis, or streamlined reporting), and propose actionable recommendations for leadership and cross‑functional teams. Partner with Internal Audit, legal, engineering, and platform teams (e.g., Bottle Rocket, Nova) to map controls, conduct gap analyses, and support assessments, ensuring non‑intrusive evaluations that respect aggressive project schedules. Contribute to the development of guidelines for AI‑enabled governance, including best practices for operationalizing controls (e.g., SOX compliance) and staying ahead of emerging regulations like data privacy and AI ethics standards. Prepare reports on governance efficiencies gained through AI and automation, monitor program performance, and iterate on strategies to adapt to evolving business needs. What You’ll Bring 5+ years of experience in building and launching large‑scale software product/applications. 4+ years in governance/compliance environment, IAM, or IT automation, with proven experience in agentic AI systems, business application security, and process optimization. Familiarity with Nova, Jira, Confluence, or similar enterprise environments is highly desirable. Strong knowledge of AI/ML concepts (e.g., agentic workflows, LLMs), IAM frameworks (e.g., OAuth, SAML), automation tools (e.g., Python, RPA, or scripting for compliance workflows), and governance standards (e.g., NIST, ISO 27001, SOX). Experience with data analysis tools for identifying efficiencies is a plus. Excellent analytical thinking and problem‑solving; strong communication skills to collaborate with technical and non‑technical stakeholders; ability to manage multiple priorities in a fast‑paced, innovative setting with a focus on ethical AI practices. Experience in developing end‑to‑end processes and strategies to partner with new teams. Relevant knowledge and experience in presenting and promoting product/application to IT partners. Compensation and Benefits Along with competitive pay, as a full‑time Tesla employee, you are eligible for the following benefits at day 1 of hire: Medical plans > plan options with $0 payroll deduction. Family‑building, fertility, adoption, and surrogacy benefits. Dental (including orthodontic coverage) and vision plans, both with $0 paycheck contribution. Company‑paid Health Savings Account (HSA) contribution when enrolled in the High‑Deductible medical plan with HSA. Healthcare and Dependent Care Flexible Spending Accounts (FSA). 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits. Company‑paid Basic Life, AD&D. Short‑term and long‑term disability insurance (90‑day waiting period). Employee Assistance Program. Sick and vacation time (flex time for salary positions, accrued hours for hourly positions), and paid holidays. Backup childcare and parenting support resources. Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance. Weight‑loss and tobacco cessation programs. Tesla Babies program. Commuter benefits. Employee discounts and perks program. #J-18808-Ljbffr Tesla