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