Job Description
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