Your ResponsibilitiesVision, Strategy & Digital Innovation- Own and drive the end-to-end data product vision, strategy, and multi-year roadmap, fully aligned with Siemens' global business strategy and growth objectives.
- Identify, evaluate, and champion new business opportunities enabled by data and digitalization, including cloud-based Integrated Operations & Services, AI-driven predictive maintenance, digital twin & simulation approaches, and data-as-a-product models.
- Lead enterprise-wide trend scouting and white-space innovation initiatives, assessing their future business potential and translating insights into actionable product strategy.
- Architect and promote new data-driven business models in co-creation with Sales, R&D, Product Management, and customers, with a sharp focus on customer experience, journey design, and scalable go-to-market approaches.
- Think and act in ecosystems: leverage internal and external networks, partnerships, and platforms to accelerate innovation and maximize data product impact.
Product Ownership & Delivery Excellence- Hold full accountability for the data product backlog, prioritizing initiatives that deliver the highest business value, drive adoption, and generate measurable outcomes.
- Champion rapid learn-build-test cycles with early and continuous customer validation, maintaining relentless focus on delivering tangible value at speed.
- Apply an open innovation and open failure culture, showing resilience in the face of organizational barriers, pivoting strategically when needed, and keeping innovation momentum alive across the portfolio.
- Define and track KPIs and OKRs for all data products, ensuring performance visibility and data-driven iteration across the product lifecycle.
Senior Stakeholder & Ecosystem EngagementServe as the primary strategic interface between data product teams and C-suite and other senior business leaders, translating complex data capabilities into compelling business narratives.
- Align and influence senior stakeholders across business units, data science, engineering, legal, and compliance to ensure organizational buy-in and cross-functional collaboration.
- Lead and manage organizational change associated with digital transformation initiatives spanning digital business models, IT innovation, process digitization, customer experience, and user enablement.
- Act as a coach and thought leader within cross-functional teams, breaking down silos and fostering an ecosystem mindset across the organization.
Team Leadership & Talent Development- Lead, mentor, and develop a virtual team of Data Product Owners, setting clear direction, fostering high performance, and building a culture of accountability and continuous improvement.
- Establish best practices, frameworks, and standards for data product management across the organization, elevating the overall maturity and capability of the team.
- Inspire and energize the team and broader organization with passion, vision, and a commitment to innovation excellence.
Data Governance, Quality & Compliance- Ensure all data products meet the highest standards of data quality, governance, metadata management, and regulatory compliance, including US data privacy regulations and applicable international standards.
- Champion data governance as a strategic enabler, embedding quality, trust, and compliance into every stage of the product lifecycle.
- Partner with legal, compliance, and data governance teams to proactively manage risk and ensure responsible data use across all products.
AI, Advanced Analytics & Technology Leadership- Define and execute an AI and advanced analytics integration strategy across the data product portfolio, identifying high-impact use cases and driving adoption of machine learning, predictive analytics, and generative AI capabilities.
- Provide strategic direction on data technology choices, including data lakes, data catalogues, cloud platforms, and modern data stack architectures, ensuring decisions are aligned with long-term product and business goals.
- Stay at the forefront of emerging data and AI trends, continuously bringing new ideas and approaches into the organization.
Your ProfileEducation- Bachelor's degree required (Master's degree preferred) in Computer Science, Data Science, Mathematics, Engineering, or a related technical field.
- MBA or equivalent advanced business degree is a strong plus, reflecting the strategic and commercial nature of this senior role.
Experience - Senior Level Requirements- 10+ years of progressive experience in data product management, digital innovation, or related fields, with at least 5 years in a senior or lead capacity.
- Demonstrated track record of owning and delivering enterprise-scale data products with measurable business impact, from ideation through to adoption and scale.
- Proven experience leading and influencing cross-functional and virtual teams in a matrixed, global organization.
- Prior experience in a senior product leadership role within a technology-driven, industrial, or SaaS environment is strongly preferred.
- Experience in the technical building domain, such as automation, energy management, or security, is a significant advantage.
Technical Expertise- Deep understanding of data governance frameworks, data quality management, metadata practices, and US/global regulatory requirements, including GDPR and CCPA.
- Hands-on familiarity with modern data technologies: data lakes, data warehouses, data catalogues, cloud platforms such as AWS, Azure, and GCP, and API-driven architectures.
- Proven experience driving AI, machine learning, and advanced analytics integration within product strategy and delivery.
Leadership & Strategic Competencies- Exceptional ability to set strategic direction, inspire teams, and drive organizational change at scale.
- Executive-level communication and storytelling skills, with the ability to translate complex data concepts into clear business value for C-suite audiences.
- Strong commercial acumen with experience defining business cases, ROI models, and go-to-market strategies for data products.
- Demonstrated resilience, adaptability, and ability to lead through ambiguity in fast-paced, innovation-driven environments.
- Proactive ecosystem thinker with a strong external network and a passion for co-creation with customers and partners.
- Fluent in English, written and spoken; additional languages are a plus.
Why This Role - What Sets It ApartThis is not a conventional product management position. This is a senior leadership mandate at the heart of Siemens' digital transformation journey. You will shape how one of the world's leading technology companies leverages its data assets to build next-generation products, drive new revenue streams, and deliver exceptional customer value.
You will work with strong executive visibility and cross-functional support to make a lasting impact, not just on products, but on the future of the business.
If you are a visionary data leader who thrives at the intersection of technology, innovation, and business strategy, we want to hear from you.
You'll Benefit FromSiemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
The pay range for this position is $171,217 - $293,515 annually plus a 25% bonus target. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.
