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 explicit, 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).

📌 Product Owner - Data Analytics (Ai/ml) (Bengaluru)
🏢 Siemens Healthineers
📍 Bengaluru