Area(s) of responsibility

Role Overview
We are seeking a seasoned Director - Data & Analytics COE Leader to establish, lead, and scale a global Center of Excellence (COE) for Data & Analytics. This role will drive enterprise-wide data strategy, innovation, governance, and delivery excellence, enabling business transformation through advanced analytics, AI/ML, and modern data platforms.
Key Responsibilities
Define and execute the enterprise Data & Analytics COE vision, strategy, and roadmap aligned with business objectives
Establish COE operating model, governance frameworks, and best practices across data engineering, BI, AI/ML, and GenAI
Drive large-scale data transformation programs including modernization to cloud platforms (Azure, AWS, Databricks, Snowflake)
Lead innovation in advanced analytics, AI/ML, and agentic AI solutions for business value realization
Build reusable frameworks, accelerators, and industry-specific solutions to improve delivery efficiency
Oversee data governance, data quality, MDM, privacy, and regulatory compliance initiatives
Partner with CXOs and business leaders to identify monetization and data-driven decision opportunities
Drive global delivery excellence, ensuring scalability, standardization, and cost optimization
Establish KPIs and success metrics for COE performance and business impact
Lead, mentor, and scale high-performing global teams across data engineering, analytics, and AI disciplines
Support pre-sales and GTM initiatives, including large deal solutioning and executive-level client engagements
Required Skills & Expertise
Deep expertise in Data & Analytics ecosystem including Data Engineering, BI, AI/ML, and Advanced Analytics
Proven experience in building and scaling enterprise Data & Analytics COEs
Strong hands-on knowledge of modern data platforms (Databricks, Snowflake, Azure Synapse, AWS Data Stack)
Experience with AI/ML, Generative AI, and emerging agent-based architectures
Expertise in data governance frameworks, MDM, data quality, and regulatory compliance
Strong understanding of data architecture patterns including Lakehouse, Data Mesh, and Data Fabric
Leadership experience in managing global teams and large transformation programs
Strong client engagement, stakeholder management, and executive communication skills
Proven track record in delivery management, P&L ownership, and business growth
Educational Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field. Executive certifications in Data/AI, Cloud (Azure/AWS/GCP), or Enterprise Architecture preferred.
Preferred Qualifications
Experience in leading digital/data transformation for large enterprises or Fortune 500 organizations
Exposure to industry domains such as BFSI, Manufacturing, Energy, or Healthcare
Experience with advanced platforms/tools such as Mosaic AI, Snowflake Cortex, or similar AI ecosystems
Strong consulting background with experience in strategy, advisory, and transformation programs
Thought leadership demonstrated through publications, speaking engagements, or patents
Key Success Metrics
COE maturity and adoption across business units
Revenue growth and contribution from Data & Analytics services
Delivery efficiency, reuse, and standardization improvements
Client satisfaction and strategic account expansion
Innovation pipeline, accelerators, and IP creation