Squad Lead (f/m/d) Data & Analytics

About the Role


  • Country/Region: United States of America
  • State/Province/County: North Carolina
  • City: Charlotte

  • Country/Region: Canada

  • Country/Region: Hungary
  • State/Province/County: Budapest
  • City: Budapest

EVP Global Functions
Business Unit
Enterprise Data & Advanced Analytics
Full / Part time
Experience Level
Experienced Professional
A Snapshot of Your Day 

As the Squad lead you will lead a self organizing team aligned to the development and operation of a specific Data & Analytics Product component. As a leader, you are part of our transformation journey to become a data driven company in future.

Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Data Analytics & AI team plays a significant role in driving the energy transformation.

Honestly, we don’t have all the answers. Honestly, given the scale of the challenge we need many types of perspectives to help reimagine the future. And honestly, we can’t do it alone.
Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture.

How You’ll Make an Impact
  • Guiding and mentoring a multi-disciplinary team to a shared goal whilst looking to develop a new way to innovate and bring new horizons to the company.
  • Discuss requirements with supply chain & procurement and understand their specific processes 
  • Collaborate with internal stakeholders, external partners, Institutions, and cross-functional teams to solve critical business problems, propose operational efficiencies and innovative approaches. 
  • Communicating and aligning with other squad leads to ensure that the squad to do not work in a silo
  • Drive adoption of analytical inputs for strategic decision making
  • Identify operational risks and enable the team to drive issues to resolution, balance multiple priorities and minimize surprise partner concerns.
  • Provide the architectural foundation to support the squad
  • Managing and resourcing  the team aligned to the customer needs, providing guidance to the squad on ‘what’ and ‘when’ task need to be done and let the squad determine the ‘how’. As the squad lead you will manage the customer relationship. 
  • In addition, you keep up to date of latest developments in data science principles, theories, and techniques to support the business in making truly data-driven decisions
  • Squad quality checks and reviews, driving high quality standards (e.g implementing peer review meetings).
  • Document and share methods, processes, and project results. You regularly communicate and present your findings. 
  • You’ll be part of an inspiring team of real data science thought leaders and experts within the ED&AA global team and will be a valuable contributor
What You Bring
  • Bachelor’s degree in one of the following fields: Computer science, mathematics, engineering, physics or related. A Master’s degree is considered a plus.
  • Subject matter expert with longstanding experience in data science or analytics-related field
  • Prior people & project management experience (at least 3+ years’ experience in leading a team)
  • Excellent analytical skills and profound expertise in problem-solving 
  • Proven ability to identify and consider the needs of the whole enterprise, with ability to balance long term strategic goals vs. short term tactical business goals.
  • Profound experience in product development and design
  • Deep understanding and experience in different project management methods (e.g. GPM, agile) with cross-sector and lifecycle product development know-how
  • Important to have industry relevant experience in related environment (e.g. energy sector), demonstrating a good understanding of the current industry trends. 
  • You have a strong customer focus and excellent communication skills and can navigate easily in a global & multicultural environment.
  • You demonstrate exceptional leadership and coaching skills to collaborate across multicultural, global teams and develop engineering talent
  • You are open-minded and willing to learn and constantly improve own skills
  • You are result-driven as well as excellent interpersonal, communication, and collaborative skills
  • You are passionate about data and analytics, and driving data value across all parts of an organization and ecosystems
  • You are fluent in both spoken and written English, knowledge of German or any other language is a plus.
About the Team

The Data & Analytics organization has been established and designed to help Siemens Energy achieve our mission by becoming a data driven organization. Treating and using data as a strategic asset enables us to support customers in transitioning to a more sustainable world, by using innovative technologies and bringing ideas into reality.

Check out this video to see what we do here! https://bit.ly/3IfnlaR 

Who is Siemens Energy? 

At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 92,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment. 

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. 

Our Commitment to Diversity 

Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. 

We value equal opportunities and welcome applications from people with disabilities.