Data Program Manager

Siemens; Bellevue (WA); Presencial; USD 125.000 - 168.000; Jornada completa

Descripción de la vacante

Siemens is seeking a Data Program Manager to orchestrate AI data programs across product, engineering, and operations in Bellevue, WA. You will own data acquisition, annotation, curation, licensing, and readiness, coordinating multiple workstreams with internal teams and external data partners.

The role emphasizes metric-driven delivery, governance, and risk management, requiring strong communication with senior leadership and stakeholders. A collaborative environment supports growth and impact.

Formación

• Bachelor's degree or equivalent practical experience.
• 4+ years in program management, project management, operations, technology programs, data programs, or a related field.
• Demonstrated experience independently leading complex, cross-functional programs.
• Experience managing multiple workstreams, dependencies, stakeholders, and external partners.
• Excellent written and verbal communication skills, including communication with senior stakeholders.
• Strong analytical, organizational, and problem-solving skills.

Responsabilidades

• Manage complex, cross-functional AI data programs and interconnected workstreams from planning through delivery, aligning evolving requirements with clear objectives, milestones, and operating plans.
• Drive execution across Product, Engineering, Applied Science, Legal, Compliance, Procurement, Security, and other stakeholders, while representing programs in leadership forums.
• Oversee end-to-end data acquisition, annotation, curation, licensing, and readiness, and manage strategic day-to-day relationships with internal and external data owners
• Establish success metrics, requirements, and acceptance criteria for data deliverables to measure progress, quality, readiness, and compliance with organizational policies.
• Identify systemic risks, resolve complex cross-organizational dependencies, and lead regular program reviews to communicate status and decisions to senior leadership.
• Manage budgets, resource planning, and vendor commitments while developing scalable governance models, templates, and operating processes to improve program efficiency.

Conocimientos

Program management

Cross-functional leadership

Analytical skills

Communication

Organizational skills

Problem-solving

Stakeholder management

Vendor management

External partners

AI programs

Data acquisition

Data annotation

Data curation

Data lifecycle

Data governance

Data privacy

Licensing

Responsible AI

Program governance

Operating mechanisms

Standardized processes

Educación

Bachelor's degree or equivalent

Descripción del empleo

Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That's why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?

We are building intelligent systems that bring generative AI into the physical world - merging models, embodiment, and real-time perception into entirely new product experiences. As a Data Program Manager are responsible for all aspects of data acquisition for the next generation of AI products by working on cross-functional DAI (data and artificial intelligence) data programs that support Siemens' AI and industrial AI initiatives. Here you will partner with applied science, product, engineering, and operations to design and implement pragmatic solutions for acquiring data. You will be a key interface between our product roadmap and external data offerings.

The role will own multiple related workstreams and serve as a liaison across Product, Engineering, Applied Science, Legal, Compliance, Procurement, and external data partners. The Data Program Manager will translate business and product needs into executable data programs, establish operating mechanisms, manage dependencies and risks, and drive programs through delivery.

Key responsibilities:

• Manage complex, cross-functional AI data programs and interconnected workstreams from planning through delivery, aligning evolving requirements with clear objectives, milestones, and operating plans.
• Drive execution across Product, Engineering, Applied Science, Legal, Compliance, Procurement, Security, and other stakeholders, while representing programs in leadership forums.
• Oversee end-to-end data acquisition, annotation, curation, licensing, and readiness, and manage strategic day-to-day relationships with internal and external data owners
• Establish success metrics, requirements, and acceptance criteria for data deliverables to measure progress, quality, readiness, and compliance with organizational policies.
• Identify systemic risks, resolve complex cross-organizational dependencies, and lead regular program reviews to communicate status and decisions to senior leadership.
• Manage budgets, resource planning, and vendor commitments while developing scalable governance models, templates, and operating processes to improve program efficiency.

Basic Qualifications

• Bachelor's degree or equivalent practical experience.
• 4+ years of experience in program management, project management, operations, technology programs, data programs, or a related field.
• Demonstrated experience independently leading complex, cross-functional programs.
• Experience managing multiple workstreams, dependencies, stakeholders, and external partners.
• Excellent written and verbal communication skills, including communication with senior stakeholders.
• Strong analytical, organizational, and problem-solving skills.

Preferred Qualifications

• Experience managing AI, data, software, or technology programs.
• Experience with data acquisition, data annotation, data curation, or data lifecycle programs.
• Experience developing and executing data acquisition strategies that leverage frontier AI models for data discovery, generation, enrichment, transformation, and quality evaluation, with an understanding of when to apply AI-driven approaches versus traditional or human-in-the-loop methods.
• Familiarity with data governance, data privacy, licensing, or responsible AI principles.
• Experience managing strategic vendors or external data providers.
• Experience establishing program governance, operating mechanisms, or standardized processes.

$124,542 $168,096 10%