Senior Director, Enterprise AI Center of Excellence
Epiq Systems, Inc, Tampa, FL, United States
At **Epiq**, your work contributes to complex, global legal outcomes. You’ll join a values‐driven community where integrity guides decisions, **relentless service** sets the bar, and we **thrive on big challenges** together. We invest in your growth with enterprise‐wide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that’s recognized externally. Enabled by modern platforms and AI, **you’ll do the most meaningful work of your career** and see your impact at scale.**Key Responsibilities****Enterprise AI Strategy & Operating Model*** Design, establish, and operationalize Epiq’s **Enterprise AI Center of Excellence**, including governance, intake, prioritization, delivery, and value realization models aligned with ETO portfolio frameworks.* Define and implement an **enterprise AI operating model** that balances innovation velocity with security, compliance, and responsible AI principles, building on existing AI governance initiatives.* Establish clear standards for AI architecture, tooling, data readiness, security‐by‐design, and lifecycle management in partnership with Cyber Security, Legal, Compliance, and Corporate IT.**Product‐Centric Delivery & Business Optimization*** Build and lead
the development of **AI solutions** focused on internal business optimization, workforce productivity, and scalable enterprise capabilities rather than one‐off solutions.* Ensure AI initiatives integrate seamlessly with broader **Digital Transformation**, **Enterprise Data Platform**, and corporate platforms strategies.* Translate business problems into AI‐enabled products and platforms that deliver tangible outcomes such as cost reduction, cycle‐time improvement, risk mitigation, and revenue acceleration.**High‐Velocity Innovation & Use Case Harvesting*** Lead **High‐Velocity Innovation** by driving structured AI use‐case harvesting across Finance, Legal, HR, Marketing, and ETO, leveraging proven harvesting frameworks and cross‐functional engagement models.* Oversee prioritization of AI use cases based on feasibility, impact, and strategic alignment, ensuring transparency and avoidance of duplication across functions.* Accelerate the transition from experimentation to **production‐grade AI solutions** with clear ownership, funding, and success metrics.**Governance, Risk, and Value Realization*** Ensure enterprise‐wide **AI governance**, including responsible AI practices, regulatory alignment, risk management, and auditability, in partnership with Legal, Compliance, and Cyber Security.* Establish robust **ROI, value tracking, and benefits realization** mechanisms to measure operational velocity, adoption, and business impact of AI investments.* Provide executive‐level reporting and dashboards on AI portfolio health, value delivered, and risks.**Leadership, Change Management & Adoption*** Build, lead, and mentor high‐performing, cross‐disciplinary teams spanning AI product management, engineering, data, and change management.* Drive **integrated change management**, ensuring AI adoption is embedded into day‐to‐day workflows with training, communications, and stakeholder engagement.* Act as a trusted advisor to executive leadership, translating complex AI concepts into clear business outcomes and decisions.Epiq is seeking a **Senior Director, Enterprise AI Center of Excellence (CoE)** to lead the next phase of its enterprise‐wide AI, data, and digital transformation. This role is a **solution‐focused technology leader** position responsible for establishing and scaling Epiq’s **AI operating model for the enterprise,** enabling secure and responsible AI adoption, and delivering measurable business value through high‐impact, production‐ready solutions.Reporting to the **SVP of Transformation**in the **Enterprise Technology & Operations (ETO) organization**, this leader will bridge technology and business strategy, driving **high‐velocity innovation**, operational efficiency, and revenue enablement across corporate functions including **Finance, Legal, HR, Marketing, and ET&O**. The role will build and lead a **product‐centric AI organization**, ensuring strong governance, clear ROI accountability, and sustained organizational adoption.* **Education**: Bachelor's degree in Information Technology, Business Administration, or related field preferred.* **Experience**:* 10+ years of experience in IT management.* Proven track record of building and scaling **enterprise Centers of Excellence**, operating models, or product organizations.* Deep expertise in applied AI (including generative, assistive, and agentic AI), data platforms, and digital transformation—focused on **production delivery**, not experimentation alone.* Strong experience bridging technology and business, with demonstrated success delivering measurable ROI and operational outcomes.* Executive‐level leadership presence with the ability to influence across Finance, Legal, HR, Technology, and Operations.* Experience operating in regulated environments with strong appreciation for security, privacy, and compliance requirements.* **Skills**:
+ Analytical Thinking
+ Budget Management
+ Business Analysis
+ Business Analytics
+ Business Innovation
+ Business Process Improvements
+ Communication
+ Influencing Others
+ Information Technology (IT)
+ Leadership
+ People Management
+ Problem Solving
+ Professional Collaboration
+ Reporting and Analysis
+ Resource Management
+ Team Leadership* **Certifications**: Certified Information Systems Security Professional (CISSP), Project Management Professional (PMP) preferred* **Physical Requirements**: Ability to work in an office environment and perform tasks that may require sitting, standing, and using office equipment.* Minimum 12 years of experience in software engineering, AI systems, or platform engineering.* At least 5 years in technical leadership roles (Director, Senior Manager, or equivalent) with responsibility for multi-team delivery.* Proven track record of scaling platform teams beyond single product teams.* Deep understanding of agent-based AI systems, tool orchestration, and workflow automation.* Hands-on experience with agent frameworks (e.g., CrewAI, Dify, LangGraph, AutoGen) and familiarity with MCP or similar protocol-based architectures.* Demonstrated ability to define and enforce architectural standards across teams.* Extensive experience with cloud-native SaaS platforms (AWS, Azure, or GCP).* Strong knowledge of multi-tenant architectures, security, reliability, and cost controls.* Experience operationalizing AI in regulated or high-risk environments is strongly preferred.* Exceptional ability to communicate complex technical concepts to executive leadership, clients, and regulators.* Skilled at balancing speed, safety, cost, and quality in decision-making.* Strong collaboration skills across product, engineering, legal, and go-to-market teams.* **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 #J-18808-Ljbffr
the development of **AI solutions** focused on internal business optimization, workforce productivity, and scalable enterprise capabilities rather than one‐off solutions.* Ensure AI initiatives integrate seamlessly with broader **Digital Transformation**, **Enterprise Data Platform**, and corporate platforms strategies.* Translate business problems into AI‐enabled products and platforms that deliver tangible outcomes such as cost reduction, cycle‐time improvement, risk mitigation, and revenue acceleration.**High‐Velocity Innovation & Use Case Harvesting*** Lead **High‐Velocity Innovation** by driving structured AI use‐case harvesting across Finance, Legal, HR, Marketing, and ETO, leveraging proven harvesting frameworks and cross‐functional engagement models.* Oversee prioritization of AI use cases based on feasibility, impact, and strategic alignment, ensuring transparency and avoidance of duplication across functions.* Accelerate the transition from experimentation to **production‐grade AI solutions** with clear ownership, funding, and success metrics.**Governance, Risk, and Value Realization*** Ensure enterprise‐wide **AI governance**, including responsible AI practices, regulatory alignment, risk management, and auditability, in partnership with Legal, Compliance, and Cyber Security.* Establish robust **ROI, value tracking, and benefits realization** mechanisms to measure operational velocity, adoption, and business impact of AI investments.* Provide executive‐level reporting and dashboards on AI portfolio health, value delivered, and risks.**Leadership, Change Management & Adoption*** Build, lead, and mentor high‐performing, cross‐disciplinary teams spanning AI product management, engineering, data, and change management.* Drive **integrated change management**, ensuring AI adoption is embedded into day‐to‐day workflows with training, communications, and stakeholder engagement.* Act as a trusted advisor to executive leadership, translating complex AI concepts into clear business outcomes and decisions.Epiq is seeking a **Senior Director, Enterprise AI Center of Excellence (CoE)** to lead the next phase of its enterprise‐wide AI, data, and digital transformation. This role is a **solution‐focused technology leader** position responsible for establishing and scaling Epiq’s **AI operating model for the enterprise,** enabling secure and responsible AI adoption, and delivering measurable business value through high‐impact, production‐ready solutions.Reporting to the **SVP of Transformation**in the **Enterprise Technology & Operations (ETO) organization**, this leader will bridge technology and business strategy, driving **high‐velocity innovation**, operational efficiency, and revenue enablement across corporate functions including **Finance, Legal, HR, Marketing, and ET&O**. The role will build and lead a **product‐centric AI organization**, ensuring strong governance, clear ROI accountability, and sustained organizational adoption.* **Education**: Bachelor's degree in Information Technology, Business Administration, or related field preferred.* **Experience**:* 10+ years of experience in IT management.* Proven track record of building and scaling **enterprise Centers of Excellence**, operating models, or product organizations.* Deep expertise in applied AI (including generative, assistive, and agentic AI), data platforms, and digital transformation—focused on **production delivery**, not experimentation alone.* Strong experience bridging technology and business, with demonstrated success delivering measurable ROI and operational outcomes.* Executive‐level leadership presence with the ability to influence across Finance, Legal, HR, Technology, and Operations.* Experience operating in regulated environments with strong appreciation for security, privacy, and compliance requirements.* **Skills**:
+ Analytical Thinking
+ Budget Management
+ Business Analysis
+ Business Analytics
+ Business Innovation
+ Business Process Improvements
+ Communication
+ Influencing Others
+ Information Technology (IT)
+ Leadership
+ People Management
+ Problem Solving
+ Professional Collaboration
+ Reporting and Analysis
+ Resource Management
+ Team Leadership* **Certifications**: Certified Information Systems Security Professional (CISSP), Project Management Professional (PMP) preferred* **Physical Requirements**: Ability to work in an office environment and perform tasks that may require sitting, standing, and using office equipment.* Minimum 12 years of experience in software engineering, AI systems, or platform engineering.* At least 5 years in technical leadership roles (Director, Senior Manager, or equivalent) with responsibility for multi-team delivery.* Proven track record of scaling platform teams beyond single product teams.* Deep understanding of agent-based AI systems, tool orchestration, and workflow automation.* Hands-on experience with agent frameworks (e.g., CrewAI, Dify, LangGraph, AutoGen) and familiarity with MCP or similar protocol-based architectures.* Demonstrated ability to define and enforce architectural standards across teams.* Extensive experience with cloud-native SaaS platforms (AWS, Azure, or GCP).* Strong knowledge of multi-tenant architectures, security, reliability, and cost controls.* Experience operationalizing AI in regulated or high-risk environments is strongly preferred.* Exceptional ability to communicate complex technical concepts to executive leadership, clients, and regulators.* Skilled at balancing speed, safety, cost, and quality in decision-making.* Strong collaboration skills across product, engineering, legal, and go-to-market teams.* **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 #J-18808-Ljbffr