Product Manager, Data and Integrations

Siemens

Raleigh (NC)

On-site

USD 69,000 - 118,000

Full time

8 days ago
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Job summary

Siemens is seeking a Product Manager for Data and Integrations to define and execute a strategy that connects asset management solutions with data, systems, and workflows customers rely on. You will translate customer needs into product decisions and build scalable data and integration capabilities to improve interoperability and asset lifecycles.

Lead across engineering, design, sales, services, partners, and customers to balance near-term delivery with a long-term platform vision, including

Qualifications

  • Fluency in data platforms, APIs, integration patterns, enterprise systems, and applied AI concepts.
  • Ability to evaluate trade-offs and communicate with technical and business audiences.
  • Extreme Ownership and Relentless Execution with clear outcomes and accountable delivery.

Responsibilities

  • Own the product vision, strategy, roadmap, and measurable outcomes for data, APIs, and integrations across our asset management portfolio.
  • Discover and prioritize customer problems by combining customer engagement, product analytics, market insight, and feasibility into clear requirements.
  • Partner with engineering, design, cybersecurity, and data teams to deliver secure, scalable integration and data capabilities.

Skills

Data platforms
APIs
Integration patterns
Enterprise systems
Applied AI concepts

Education

Bachelor's degree in computer science, information systems, engineering, business, data analytics, or related field

Job description

At Siemens, we help organizations transform maintenance and operations through connected insights, AI-powered technology, and intelligent asset management solutions. Our software enables customers to manage the full lifecycle of assets, facilities, and infrastructure while improving efficiency, reducing risk, and optimizing long-term investments. By connecting data, people, and processes, we empower organizations to make smarter decisions, maximize asset performance, and achieve more resilient operations.

Description:

As Product Manager for Data and Integrations, you will define and execute the product strategy that connects our asset management solutions with the data, systems, and workflows our customers rely on. You will translate complex customer and business needs into pragmatic product decisions, applying AI where it creates measurable value and building scalable data and integration capabilities that improve interoperability, accelerate adoption, and enable smarter asset lifecycle decisions. Working across engineering, design, sales, services, partners, and customers, you will balance near-term delivery with a clear long-term platform vision.

You’ll make an impact
  • Own the product vision, strategy, roadmap, and measurable outcomes for data, APIs, and integrations across our asset management portfolio.
  • Discover and prioritize customer problems by combining direct customer engagement, product analytics, market insight, and technical feasibility into clear product requirements and investment decisions.
  • Partner with engineering, architecture, design, cybersecurity, and data teams to deliver secure, scalable, observable, and well-documented integration and data capabilities.
  • Guide pragmatic AI product development from problem validation through launch, including data readiness, responsible AI considerations, human oversight, model performance, and ongoing value measurement.
  • Collaborate with sales, services, customer success, and technology partners to shape go-to-market plans, remove adoption barriers, and turn implementation findings into product improvements.
  • Establish product success metrics and use evidence to make trade-offs, communicate progress, manage dependencies, and drive reliable execution across globally distributed teams.
This Is How You'll Win Us Over
  • Bring 3-5 years of product management or closely related experience delivering B2B SaaS or enterprise software products, including responsibility for strategy, discovery, roadmaps, requirements, launches, and product outcomes.
  • Hold a bachelor’s degree in computer science, information systems, engineering, business, data analytics, or a related field, or possess equivalent practical experience
  • Demonstrate fluency in data platforms, APIs, integration patterns, enterprise systems, and applied AI concepts, with the ability to evaluate trade-offs and communicate effectively with both technical and business audiences.
  • Practice Extreme Ownership and Relentless Execution by setting clear outcomes, making timely decisions, managing dependencies, and remaining accountable from customer problem through adoption and measured results.
  • Possess a Customer-Centric Focus and Insatiable Curiosity by engaging directly with users, testing assumptions, analyzing qualitative and quantitative evidence, and continuously learning about asset management workflows and market needs.
  • Communicate with clarity and Radical Candor, translating complexity into actionable direction while building trust across engineering, commercial, implementation, partner, and executive team members.
You’ll Thrive Even More If You Also
  • Bring experience with enterprise asset management, computerized maintenance management, facilities, infrastructure, or adjacent industrial software domains.
  • Demonstrate resourceful problem-solving by navigating ambiguous technical and commercial constraints, finding practical paths forward, and validating solutions before scaling investment.
  • Show grit and resilience while remaining composed under fire when priorities shift, dependencies fail, or customer-impacting issues require calm, evidence-based decisions.
  • Lead with empathy and infectious enthusiasm, creating shared purpose across diverse global teams while listening carefully, inviting challenge, and helping others do their best work.
  • Bring experience with platform ecosystems, public APIs, integration marketplaces, data governance, analytics, machine learning products, or responsible AI practices.

Qualified Applicants must be legally authorized for employment in the United States. Qualified Applicants will not require employer sponsored work authorization now or in the future for employment in the United States.

At Siemens, you'll have the opportunity to grow your career while helping organizations operate smarter, safer, and more sustainably. We foster a culture of innovation, collaboration, and continuous learning, where employees are empowered to make a difference every day.

Our Commitment to Equity and Inclusion in our Diverse Global Workforce

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the every day with us.

Siemens maintains a Drug Free workplace in accordance with applicable law.

$68,830 $117,994

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