Hello eager tech expert!

We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team.

Siemens Global Business Services (GBS) is a Siemens Service Company that provides innovative digital solutions and customer-oriented business services. With more than 20 years of experience, Siemens GBS taps into its understanding of how organizations and businesses work to seamlessly integrate, digitalize and optimize business processes with a portfolio that covers end-to-end business needs.

Lead and scale the Data, Analytics & AI charter for Digital Solutions in India. Drive adoption of the Siemens Data Cloud, strengthen the Data Factory, and deliver measurable business value through analytics, AI (including Process/Agentic AI), and automation. Shape the services and solution portfolio with a strong focus on business impact. Build a high‑performing organization and ensure strong governance, cybersecurity, and compliance. Contribute directly to the global GBS AI & Data strategy and collaborate closely with IT and business customers.

You’ll break new ground by:

• Service & Solution Portfolio: Shape an impactful services and solutions portfolio and ensure robust, future‑ready technology foundations.
• Products & Use Cases: Deliver a continuous AI/analytics products (e.g., Process/Agentic AI, Smart Automation) with business objectives and key results and return on investment baselines.
• Architecture & partnerships: Institutionalize reference architectures and leverage strategic ecosystems (e.g., Snowflake) for scale and reuse.
• People & Culture: Build a high‑performing, capability‑rich D&A organization; strengthen engagement, retention, and continuous learning.
• Governance & compliance: Embed data security, privacy, and audit readiness across solutions
• Platform & Migration: Deliver prioritized waves of Siemens Data Cloud migration; operationalize high‑availability data services with clear SLOs.
• Thought Leadership & Influence: Act as a recognized authority in Data & AI across Siemens, giving thought leadership, standard processes, and insights.
• AI Strategy & Operating Model: Support and evolve the AI operating model, ensuring responsible, scalable, and business‑aligned AI adoption.
• Value Realization & return on investment: Define and deliver clear, measurable business impact targets from Data & AI initiatives.
• Strategy & Portfolio
• Define India D&A strategy tied to DS priorities (Horizontal AI, Digital Experience, Data Factory, RPA/Automation) and annual investment plan.
• Maintain a living roadmap of platforms, products, and services, balancing build‑vs‑buy via DS ecosystems (e.g., Snowflake).
• Provide thought leadership that shapes enterprise‑wide Data & AI direction.
• Product & Delivery Leadership
• Establish and scale a product‑centric operating model connected to business outcomes and objectives and key results.
• Lead multidisciplinary squads across business, analytics, engineering, and TechOps for end‑to‑end delivery excellence.
• Drive AI adoption across business units, ensuring alignment to enterprise strategy and measurable business impact.
• Own and evolve the enterprise AI operating model to ensure responsible and scalable deployment.
• Data Platforms & Architecture
• Own India‑level data platforms: ingestion, storage, transformation, serving; set canonical models and quality SLAs.
• Lead Siemens Data Cloud migration waves, interoperability and cost optimization.
• Advanced Analytics, AI & Automation
• Industrialize ML lifecycle (feature stores, MLOps, monitoring, model risk & bias checks).
• Scale Process/Agentic AI and automation programs that deliver measurable efficiency and operational gains.
• Ensure AI and GenAI initiatives are tied to real business outcomes and adoption.
• Define and deliver clear financial impact targets (efficiency, cost optimization, revenue enablement) from Data & AI solutions.
• Lead adoption of multi‑agent and agentic AI systems for decision-making intelligence and automation.
• Governance, Cybersecurity & Compliance
• Partner with GCI to embed security, guardrails, and audit readiness; align to ISO and Siemens policies.
• Lead all aspects of data cataloging, classification, lineage, and access governance for all India‑owned platforms.
• Ensure responsible AI governance and risk management across all AI deployments.
• People Leadership & Organization Design
• Lead ~100‑member team; define career architecture, learning paths, and succession; maintain a healthy FTE/FTC/vendor mix.
• Promote “empowered people” culture and continuous certification momentum.
• Build AI literacy and Data/AI fluency across teams through structured upskilling and leadership enablement.
• Support senior leaders on how to frame AI use cases, evaluate AI risks, and translate business goals into AI-ready opportunities.
• Stakeholder & Financial Management
• Communicate effectively with senior executives, business leads, and global partners.
• Translate business needs into OKR‑aligned commitments supported by strong delivery governance.
• Own budgets, vendor strategy, and productivity targets; leverage DS ecosystems for speed and scale.
• Drive measurable value realization and financial impact from Data & AI initiatives Service & Solution Portfolio Leadership.
• Shape and evolve service and solution portfolio to improve business impact and customer value.
• Review, refine, and modernize the technology stack and architectural building blocks underpinning DS services.
• Ensure alignment with global platform strategy, reuse opportunities, and scalable enterprise patterns.

You’re excited to build on your existing expertise, including:

• 10–15+ years in data/analytics/AI with at least 5 years leading large (75+) engineering & data teams.
• Proven ownership of enterprise data platforms and analytics product portfolios in a global matrix environment.
• Experience migrating to cloud‑native data stacks and scaling MLOps.
• Cloud & data platforms: Azure/AWS; Snowflake (strategic in DS), Databricks or equivalent; modern ETL/ELT; event streaming.
• Analytics & AI: Feature stores, ML pipelines, model monitoring; GenAI/Agentic patterns tied to business outcomes.
• BI & orchestration: Power BI, orchestration frameworks; data quality, cataloging, lineage.
• Modern AI Stack: Semantic layers, vector databases, LLMOps, orchestration frameworks, multi‑agent systems. 
• Product/Service mindset with strong outcome orientation and OKR expertise. 
• Excellent stakeholder management; builds high‑trust, cross‑regional collaboration.
• Strong project execution discipline and pragmatic governance mindset. 
• Passion for talent development, inclusion, and building strong engineering/AI cultures. 
• Ability to act as an enterprise thought leader and influence Data & AI direction. 
• Governance and risk management; pragmatic approach to guardrails and reuse.

Create a better #TomorrowWithUs!

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.

Protecting the environment, conserving our natural resources, fostering the health and performance of our people as well as safeguarding their working conditions are core to our social and business commitment at Siemens.

This role is based in Bangalore. You’ll also get to visit other locations in India and beyond, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with an international team and work on global topics.