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Product Owner - Data Analytics (AI/ML)

ID de Puesto
502741
Publicado desde
17-Abr-2026
Ámbito de trabajo
Information Technology
Empresa
Siemens Healthcare Private Limited
Nivel de experiencia
Profesional Experimentado
Tipo de jornada
Jornada completa
Modalidad de trabajo
Oficina/Solo presencial
Tipo de contrato
Indefinido
Ubicación(es)
  • Bangalore - Karnataka - India
Job Responsibilities:
  • Act as Senior Technical Product Owner for Data Analytics and AI/ML products, owning the vision, roadmap, and backlog.
  • Drive end-to-end responsibility for solution delivery, including requirements definition, development oversight, quality assurance, and production readiness.
  • Work hands-on in Data Analytics and AI/ML initiatives, contributing as:
    • Product Owner, and/or
    • Technical contributor (developer/reviewer) where needed.
  • Collaborate closely with Data engineers, AI/ML engineers, and platform teams working on:
    • Snowflake
    • Databricks
    • Modern cloud-based data platforms.
  • Translate business objectives & user needs into clear, prioritized user stories and technical requirements.
  • Review architecture, code, and implementations to ensure alignment with:
    • Business requirements
    • Technical standards
    • Data quality and performance expectations.
  • Establish and enforce quality standards, including testing strategies, acceptance criteria, and release readiness.
  • Proactively manage delivery in environments with ambiguous or evolving requirements, driving clarity and alignment.
  • Act as a key interface between business stakeholders and technical teams, ensuring transparency and predictable outcomes.
Required Skills & Experience:
  • 3 to 5+ years of experience as a Technical Product Owner or similar role in data-driven environments.
  • 8+ years of total work experience.
  • Proven experience in Data Analytics and AI/ML projects, acting as:
    • Product Owner, and/or
    • Developer / technical contributor.
  • Strong hands-on technical expertise in:
    • SQL
    • Python
    • Git and DevOps practices
    • Modern data platforms such as Snowflake and Databricks
    • Experience with Qlik / Power BI / Tableau.
  • Solid understanding of:
    • Data pipelines and ETL/ELT processes
    • Analytics and AI/ML solution lifecycle.
  • Demonstrated ability to steer, coach, and challenge development teams, fostering high engineering and delivery standards.
  • Strong capability to review code and designs against user needs and business outcomes.
  • Comfortable working proactively and independently in complex environments with changing or unclear requirements.
  • Strong analytical thinking, communication, and stakeholder management skills.
  • Experience of working with global teams.
  • Fluency in English (spoken and written).