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Siemens

Automation, digitalization, and smart infrastructure provider

Data Program Manager

Program ManagementConfirmed live in the last 24 hours
Full-timeCalifornia, USAIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent practical experience.
  • At least 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.
  • Strong written and verbal communication skills, including communication with senior stakeholders.
  • Strong analytical, organizational, and problem-solving skills.

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.

Desired 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.

About the Company

Siemens

Automation, digitalization, and smart infrastructure provider

Siemens is a global engineering and technology company focused on automation, digitalization, smart infrastructure, and mobility. Its products and solutions span industrial automation systems, electrical equipment, energy management, and digital services that help industries run more efficiently. The company’s core technology comes from its history of electrical generation and distribution, including the dynamo-electric principle, and it now sells hardware, software, and services that connect factories, buildings, grids, and transportation networks. Siemens differentiates itself through scale, a broad portfolio across the value chain, and a long track record of large-scale, multi-country projects in infrastructure and industry. Its goal is to enable smarter, more sustainable industrial processes and urban systems by integrating hardware, software, and digital services to improve productivity, energy efficiency, and mobility.

Company size
10,001+
Company stage
IPO
Headquarters
Munich, Germany
Founded
1847

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