Director Data, Analytics & AI India GCC

Classification: Internal

Role Overview

ADM is seeking a senior leader to establish and scale its Data, Analytics & AI organization within the Global Capability Center (GCC) in Bengaluru, India. This role is accountable for building a high-performing global delivery organization, advancing ADMs enterprise data strategy, and enabling the scaling of digital and AI-driven solutions across the business. The Director will serve as a critical bridge between global and regional teams, ensuring the GCC

operates as both a delivery engine and a center of excellence for data, analytics, and AI enablement.

Key Accountabilities

GCC Build & Organizational Leadership

• Establish and scale the Data, Analytics & AI function within the GCC, aligned to ADMs global strategy
• Define the operating model, governance structure, and Ways of Working (WoW)
• Build and lead a high-performing team across data engineering, analytics, and AI enablement
• Foster a culture of collaboration, innovation, and continuous learning

Data & Analytics Delivery Excellence:

• Provide leadership oversight for end-to-end delivery across:
• Data platforms (Azure, Databricks, SAP Datasphere
• Master Data Management (MDM), data quality, and governance
• Business intelligence and reporting (Power BI, SAP Analytics Cloud, Tableau)

Ensure delivery outcomes meet expectations for quality, timeliness, and business value

• Standardize tools, processes, and best practices across global teams

AI & Digital Enablement:

• Partner with Digital & Innovation (D&I) teams to scale AI and digital solutions across the enterprise
• Enable transition of solutions from ideation and prototyping to enterprise-scale deployment

Classification: Internal

• Ensure data readiness, governance, and platform capabilities to support AI initiatives
• Promote adoption of emerging technologies aligned with business priorities
• Own the delivery of data pipelines, feature stores, and model-serving infrastructure that underpin AI/ML workloads
• Define clear boundaries between what the GCC AI team builds vs. supports, in coordination with the central D&I team

Portfolio & Value Management

Translate enterprise strategy into a prioritized data, analytics, and AI roadmap

• Establish demand intake, prioritization, and governance frameworks

Track business value through KPIs, ROI, and benefits realization

• Optimize resource allocation and ensure alignment with enterprise priorities

Stakeholder Engagement & Global Alignment

• Act as the primary interface between GCC and global leadership
• Collaborate with Delivery Directors and business stakeholders to align on priorities and capacity
• Communicate progress on delivery, talent, and innovation initiatives
• Build strong partnerships across business functions including Finance, Supply Chain, HR, and Master Data

Talent Strategy & Culture

• Lead hiring, onboarding, and development of top-tier talent
• Establish structured career paths, mentorship programs, and capability development initiatives
• Embed ADMs culture and values within the GCC
• Drive engagement, performance management, and retention

Qualifications & Experience

Leadership & Functional Expertise

Classification: Internal

• 15+ years of experience in technology, with strong focus on Data & Analytics
• 8+ years in leadership roles building and managing global teams
• Proven experience in establishing or scaling global capability centers or delivery organizations
• Strong business acumen with ability to align technology initiatives to enterprise strategy

Technical Expertise

Required:

• Deep understanding of modern data platforms and ecosystems (Azure, Databricks, or equivalent)
• BI tools such as Power BI, Tableau, or equivalent
• Master Data Management (MDM), data governance, quality, and migration
• Data engineering and analytics delivery at scale
• Solid experience in AI/ML product development, MLOps, or automation pipelines.

Preferred ( but not mandatory ):

• SAP Datasphere and SAP Analytics Cloud experience
• Experience with digital product development or platform engineering

Core Competencies

• Strategic thinking with a bias toward execution and measurable outcomes
• Stakeholder influence at senior executive levels
• Organizational design and talent development
• Change leadership and transformation management
• Cross-cultural collaboration and communication across time zones
• Ability to navigate the politics of standing up a new function within a matrixed global organization

Education

• Bachelors degree in Computer Science, Engineering, Data Science, Business, or a related field Classification: Internal
• Advanced degrees or relevant certifications (e.g., Azure, SAP, PMP, SAFe, AI,Databricks ) preferred