Relativity is seeking to drive the implementation, governance, and sustainable scaling of artificial intelligence across the business.
Requirements
- Strong foundation in AI/ML concepts, data management, and the practical application of AI in the enterprise.
- Broad understanding of business processes and technology architectures, with an ability to bridge business and technical domains.
- Hands-on experience driving digital or AI-enabled transformation, including change management, business process optimization, and cultural change.
- Experience designing and operationalizing governance and compliance frameworks for emerging technologies.
- Familiarity with cloud platforms, AI/ML frameworks, and data protection
- 8+ years in technology, program management, transformation, or business leadership roles
Responsibilities
- Partner with Applied Scientists to bring industry best practices around model development, data usage, MLOps, ethical AI, and compliance.
- Partner with data, technology, and business architecture teams to integrate AI into enterprise platforms and ensure future-ready system design.
- Establish KPIs and dashboards to track AI adoption, risk, and business outcomes.
- Work closely with other IT teams and partner with Legal and Security to coordinate, implement, and continuously improve AI governance frameworks, standards, and controls to ensure responsible, secure, and compliant AI deployment.
- Build a structured framework for business teams to propose, prototype, and scale AI use cases responsibly.
- 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.
- Champion transformation by leading change management, business process redesign, and role evolution to unlock sustained value from AI.
Other
- 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.
- Drive enterprise AI and data literacy by supporting learning programs, hands-on enablement, and ongoing communication—demystifying AI and building broad-based organizational fluency.
- Provide regular, transparent reporting to executive leadership and escalate critical risks or dependencies as needed.
- Foster a culture of experimentation, feedback, and rapid learning—updating the transformation strategy based on outcomes, sentiment, and new opportunities.
- Demonstrated ability to lead, influence, and align diverse teams and stakeholders, often without formal authority.
- Skilled in communicating complex topics to both technical and non-technical audiences, and in delivering concise, actionable updates to senior leadership.
- Ability to influence and build trust at all levels, including with board, ELT, and business/technical teams, even without direct reporting authority.
- Comfort with ambiguity, proactive problem-solving, and a strong track record of delivering results.
