Global Data & Analytics CoE Head

Role Overview

Global CoE Leader for Data & Analytics

The ideal candidate will combine deep domain expertise, strategic thinking, and hands-on leadership to create a robust pipeline of scalable, high-impact solutions.

Key Responsibilities

Offering Innovation & Solution Development

• Lead the design and development of next-gen data, analytics, and AI solutions that drive multi-million-dollar business outcomes.
• Create reference architectures, solution blueprints, and reusable frameworks tailored for key verticals such as BFSI, Healthcare, and Travel.
• Productize accelerators, IP, and templates across data management, analytics, MLOps, LLMOps, and GenAI.

Technology & Partner Strategy

• Assess emerging technologies and vendor platforms to drive innovation and inform technology roadmaps.
• Build joint GTM strategies with hyperscalers (AWS, Azure, GCP) and independent software vendors (ISVs).
• Recommend technology partnerships based on ROI and long-term strategic value.

Execution Enablement

• Develop presales and delivery enablers, utilities, and SOPs for solution acceleration.
• Define governance frameworks and best practices for scalable and consistent implementation.
• Drive cloud marketplace onboarding of key offerings to enhance visibility and adoption.

Evangelism & Thought Leadership

• Represent the organization in global analyst engagements to improve industry recognition.
• Organize thought leadership initiatives including demos, roadshows, and internal enablement.
• Collaborate with marketing to amplify visibility via whitepapers, webinars, and campaigns.

Enablement & Competency Development

• Lead cross-functional training and competency development programs aligned with CoE initiatives.
• Build and mentor a high-performing team of architects, data scientists, solution designers, and technologists.

What We’re Looking For

• Experience:

  18+ years in Data, Analytics, AI/ML, or Digital Engineering, with at least 5 years leading a CoE or innovation/IP function.

• Innovation Track Record:

  Proven ability to create and scale sellable data/AI solutions; contributions to large pursuits or GTM programs.

• Technical Expertise:

  Deep knowledge of modern data architectures (Data Lakehouse, Data Mesh, Fabric), MLOps, LLMOps, GenAI, and cloud-native platforms.

• Productized Thinking:

  Demonstrated success in building reusable IPs, accelerators, and frameworks with clear business impact.

• Partner Ecosystem:

  Experience building joint solutions with cloud providers and technology vendors.

• Leadership:

  Ability to inspire and drive cross-functional teams across technology, delivery, and sales functions.

• Communication:

  Exceptional storytelling and stakeholder engagement skills across global teams and executive audiences.