Overview
Relativity is seeking an experienced, visionary, and execution-oriented Director, Enterprise AI Transformation to drive the implementation, governance, and sustainable scaling of artificial intelligence across the business. The role will drive Relativity’s enterprise-wide AI strategy from concept to execution, partnering with executive leadership and cross-functional stakeholders to orchestrate AI transformation initiatives, ensure governance and best practices, and champion measurable business impact across all business units. The position reports to the VP, Information Technology and maintains frequent engagement with the executive team, providing program updates, escalations, and strategic recommendations. Ideal candidates will be based in the Chicago area; however, remote candidates will be considered. Travel may be required based on business needs.
Base pay range: $183,000.00/yr - $275,000.00/yr
Responsibilities
- Program Leadership & Execution: Lead the execution of Relativity’s AI transformation roadmap, ensuring prioritized AI use cases are delivered on time, on budget, and aligned to strategic objectives.
- Cross-Functional Coordination: Serve as the primary orchestrator across IT, Legal, Security, HR, Finance, and business units—aligning efforts, resolving conflicts, and removing barriers to AI adoption and deployment.
- Enable Experimentation: Build a structured framework for business teams to propose, prototype, and scale AI use cases responsibly.
- Help Define and Implement Standards: Partner with Applied Scientists to bring industry best practices around model development, data usage, MLOps, ethical AI, and compliance.
- AI Governance Stewardship: Coordinate with IT, Legal, and Security to implement and continuously improve AI governance frameworks, standards, and controls for responsible, secure, and compliant AI deployment.
- Enterprise Architecture Awareness: Work with data, technology, and business architecture teams to integrate AI into enterprise platforms and ensure future-ready system design.
- AI & Data Literacy Advocacy: Drive enterprise AI and data literacy through learning programs, hands-on enablement, and ongoing communication to demystify AI and build organizational fluency.
- Transformation & Change Management: Lead change management, business process redesign, and role evolution to unlock sustained value from AI.
- Impact Measurement & Reporting: Establish KPIs and dashboards to track AI adoption, risk, and business outcomes; provide regular, transparent reporting to executive leadership and escalate risks or dependencies as needed.
- Continuous Improvement: Foster a culture of experimentation, feedback, and rapid learning to update the transformation strategy based on outcomes and opportunities.
Minimum Qualifications
- 8+ years in technology, program management, transformation, or business leadership roles
- Strong foundation in AI/ML concepts, data management, and practical enterprise AI applications
- Broad understanding of business processes and technology architectures; ability to bridge business and technical domains
- Cross-Functional Leadership: ability to lead, influence, and align diverse teams and stakeholders often without formal authority
- Transformation Experience: hands-on experience driving digital or AI-enabled transformation, including change management and process optimization
- Governance & Policy Development: experience designing and operationalizing governance and compliance for emerging technologies
- Communication & Executive Presence: capable of communicating complex topics to both technical and non-technical audiences and delivering concise updates to senior leadership
- Agility and Results Orientation: comfortable with ambiguity and proactive problem-solving with a track record of delivering results
Preferred Qualifications
- Advanced degree in Computer Science, Data Science, Business, or related field
- Familiarity with cloud platforms, AI/ML frameworks, and data protection
- Experience in regulated or SaaS/enterprise software environments is a plus
Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation including base salary, annual performance bonus, and long-term incentives. The final offered salary will be based on factors such as depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical to allow for future salary growth.
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