Job Description:- AI Governance and Responsible AI Lead would likely head up this area
- Leading executive-level client conversations and translating E5-E7, Copilot, and Fabric discussions into clear, structured AI governance programs.
- They set responsible AI frameworks aligned with regulatory and corporate expectations and build practical, multi-phase roadmaps.
- This role blends strong advisory storytelling, risk expertise, and executive communication to help drive revenue and strengthen market positioning.
The Compensation range for this role is 210,000 to 220,000 USD annually and may be eligible for an annual bonus.
Your specific salary will be determined based on several factors:
- Location-based market rate for the role
- Your abilities in relation to the job specification
- Performance during screening and interview
- Pay parity with the wider team in the considered location
Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.
Click here to learn about Epiq's Benefits.
Epiq Leadership CompassFosters Relationships & Collaboration Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.
- Build trust-based partnerships
- Nurture long-term relationships
- Remove collaboration barriers
- Celebrate cross-team success
Engages & InfluencesInspires action and alignment through clear communication, purposeful influence, and a compelling vision.
- Use storytelling to build buy-in
- Align communication with organizational goals
- Guild alignment through strong engagement
Maximizes PerformanceSets and reinforces performance standards that drive results, ensure accountability, and align with Epiq's goals.
- Use data to identify improvement opportunities
- Make informed decisions
- Align team goals with boarder strategy
- Empower teams to manage their own goals
- Translate vision into clear priorities
- Prepare for disruptions with strong change management
Achieves Operational SuccessDrives continuous improvement and operational excellence through smart processes, data insights, and quality execution.
- Improve workflows for team efficiency
- Use clear documentation and expectations
- Resolve issues quickly using data and feedback
