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Data Product Manager

Siemens Energy

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Original Job Summary

Overview

At Siemens Energy, the Data Product Manager leads the innovation in Data and AI solutions within the Digital Core organization. Passionate about the environment and climate change, you'll be a key component in driving the energy transition.

Role and Responsibilities

  • Act as the bridge between engineering teams and Product Owners.
  • Translate complex customer needs into secure tech solutions.
  • Oversee product portfolio using technologies like GenAI and LLMs.
  • Manage program finances, budget allocation, and cost controlling.
  • Coordinate Agile teams and review solution design and architecture.

Requirements

  • 5+ years of experience in Product Management.
  • Expertise in Data & Analytics and digital product delivery.
  • Knowledge of AWS, Snowflake, and Tableau.
  • Proficiency in Agile and Scrum methodologies.
  • Excellent communication skills in English; German is a plus.

About Siemens Energy

Siemens Energy is a global energy technology leader with approximately 100,000 employees, driving the energy transition through innovation, research, and cutting-edge technology.

Key skills/competency

  • Data
  • AI
  • Product Management
  • Agile
  • GenAI
  • LLM
  • Budgeting
  • Cloud
  • Sustainability
  • Digital

How to Get Hired at Siemens Energy

🎯 Tips for Getting Hired

  • Customize Your Resume: Tailor it to highlight data product management expertise.
  • Research Siemens Energy: Understand their energy transition initiatives and digital focus.
  • Detail Agile Experience: Emphasize Agile projects and team coordination.
  • Prepare for Interviews: Practice explaining complex projects and technical choices.

📝 Interview Preparation Advice

Technical Preparation

Review AWS, Snowflake, and Tableau features.
Study GenAI and LLM implementation.
Practice technical solution architecture reviews.
Familiarize with Agile project management tools.

Behavioral Questions

Describe leadership in cross-cultural teams.
Explain handling project risks effectively.
Discuss motivating remote Agile teams.
Share examples of simplifying complex requirements.