Team Leader Data

Job ID

478944

Posted since

15-Oct-2025

Organization

Digital Industries

Field of work

Strategy

Company

Siemens Industry Software (India) Private Limited

Experience level

Experienced Professional

Job type

Full-time

Work mode

Hybrid (Remote/Office)

Employment type

Permanent

Location(s)

• Bangalore - Karnataka - India
• Pune - Maharashtra - India

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation - helping innovative global manufacturers design better products, faster With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.

Siemens Digital Industries Software is seeking an inspiring and technically adept Team Leader to manage and mentor a diverse team of Data Analysts, AI Data Scientists, and Data Visualization Analysts based in India. This critical role involves providing day-to-day leadership, technical guidance, and operational oversight to ensure the successful execution of data-driven projects. The Team Lead will serve as the primary interface between the India-based team and US-based stakeholders, directly translating business use cases and deliverables into actionable plans for the team. The ideal candidate will possess a strong blend of leadership capabilities, deep technical understanding across the data and AI spectrum, and exceptional cross-cultural communication skills.

Key Responsibilities:

Team Leadership & Management:

• Provide daily leadership, mentorship, and coaching to a team of Data Analysts, AI Data Scientists, and Data Visualization Analysts, fostering a culture of high performance, continuous learning, and innovation.
• Conduct performance reviews, set clear objectives, and support the professional growth and career development of team members.
• Manage resource allocation, workload distribution, and project assignments to ensure efficient utilization of team capabilities and timely delivery.

Stakeholder Engagement & Project Alignment:

• Serve as the primary point of contact and liaison for US-based business stakeholders, understanding their strategic objectives, business use cases, and data requirements.
• Translate complex business problems into clear, well-defined analytical and technical tasks for the team.
• Manage stakeholder expectations, communicate project progress, challenges, and successes effectively, ensuring alignment between business needs and technical solutions.
• Proactively identify and mitigate project risks and dependencies.

Technical Oversight & Quality Assurance:

• Provide technical guidance and oversight across data analysis, machine learning model development, and data visualization initiatives.
• Ensure the application of best practices in data quality, analytical methodologies, model governance, and visualization design.
• Review and validate analytical outputs, models, and visualizations to ensure accuracy, reliability, and adherence to established standards.
• Drive continuous improvement in team processes, tools, and methodologies.
• Stay abreast of emerging trends and technologies in data science, AI, and visualization, and evaluate their potential application within Siemens.

Qualifications:

• Exceptional Leadership & People Management: Proven ability to lead, motivate, and develop highly skilled technical teams, including performance management, coaching, and conflict resolution.
• Strong Technical Acumen: Solid understanding of the end-to-end data lifecycle, from data ingestion and cleaning to analysis, modeling, and visualization including familiarity with machine learning concepts, MLOps principles, and model deployment strategies.
• Cross-Cultural Communication & Collaboration: Outstanding verbal and written communication skills, with a demonstrated ability to effectively collaborate with and influence diverse global stakeholders, particularly those in the US.
• Project & Program Management: Experience in managing complex data and AI projects, including planning, execution, monitoring, and risk management, preferably with agile methodologies.
• Problem Solving & Strategic Thinking: Ability to analyze complex business problems, propose data-driven solutions, and think strategically about the long-term impact of analytical initiatives.
• Stakeholder Management: Proven ability to manage expectations, build strong relationships, and communicate effectively with both technical and non-technical audiences, including senior leadership.
• Adaptability & Resilience: Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities simultaneously.
• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative field.
• 8+ years of progressive experience in Data Analysis, Data Science, Business Intelligence, or a related field.
• 3+ years of demonstrated experience in a leadership or team lead role, managing data analysts, data scientists, or similar technical teams.
• Experience working directly with US-based stakeholders and managing global team dynamics is essential.

Working at Siemens Digital Industries Software

Why us?

Working at Siemens Digital Industries Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Transform the everyday