Technical Product Owner

Job ID

513503

Veröffentlicht seit

16-Jul-2026

Tätigkeitsbereich

Research & Development

Unternehmen

Siemens Healthineers India LLP

Erfahrungsniveau

Experienced Professional

Beschäftigungsart

Vollzeit

Arbeitsmodell

Arbeiten vor Ort

Vertragsart

Unbefristet

Standort(e)

Bangalore - Karnataka - Indien

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).

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