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Technical Product Owner

ID de Puesto
513503
Publicado desde
16-Jul-2026
Ámbito de trabajo
Research & Development
Empresa
Siemens Healthineers India LLP
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
Act as Senior Technical Product Owner for data analytics and machine learning 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 ML initiatives, contributing as: 
Product Owner, and/or
Technical contributor (developer/reviewer) where needed.
• Collaborate closely with data engineers, 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.



•  3–5+ years of experience as a Technical Product Owner or similar role in data-driven environments. 
•  Proven experience in data analytics and machine learning 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 is a plus.
•  Solid understanding of: 
Data pipelines and ETL/ELT processes
Analytics and 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. 
•  Fluency in English (spoken and written).