Director Data, Analytics & AI India GCC

About ADM:

We are one of the world's largest nutrition companies and a global leader in human and animal nutrition. We unlock the power of nature to provide nourishing quality of life by transforming crops into ingredients and solutions for foods, beverages, supplements, livestock, aquaculture, and pets.

About ADM India Hub:

At ADM, we have long recognized the strength and potential of India's talent pool, which is why we have maintained a presence in the country for more than 25 years. Building on this foundation, we have now established ADM India Hub, our first GCC in India.

At ADM India Hub, we are hiring for IT and finance roles across diverse technology and business functions. We stand at the intersection of global expertise and local excellence, enabling us to drive innovation and support our larger purpose of unlocking the power of nature to enrich quality of life.

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 ADM's 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 ADM's 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 ADM's 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:

• Bachelor's 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.