Hello eager tech expert! We empower our people to stay resilient and relevant in a constantly changing world. Were 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 youThen it seems like youd 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 highperforming 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. Youll break new ground by: Service Solution Portfolio: Shape an impactful services and solutions portfolio and ensure robust, futureready 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 highperforming, capabilityrich DA 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 highavailability 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 businessaligned AI adoption. Value Realization return on investment:Define and deliver clear, measurable business impact targets from Data AI initiatives. Strategy Portfolio Define India DA 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 buildvsbuy via DS ecosystems (e.g., Snowflake). Provide thought leadership that shapes enterprisewide Data AI direction. Product Delivery Leadership Establish and scale a productcentric operating model connected to business outcomes and objectives and key results. Lead multidisciplinary squads across business, analytics, engineering, and TechOps for endtoend 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 Indialevel 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 multiagent 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 Indiaowned platforms. Ensure responsible AI governance and risk management across all AI deployments. People Leadership Organization Design Lead ~100member 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 OKRaligned 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. Youre excited to build on your existing expertise, including : 1015+ 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 cloudnative 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, multiagent systems. Product/Service mindset with strong outcome orientation and OKRexpertise. Excellent stakeholder management; builds hightrust, crossregional 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. Youll also get to visit other locations in India and beyond, so youll need to go where this journey takes you. In return, youll get the chance to work with an international team and work on global topics.