Team Lead Data Solutions | Data Strategy, Governance & AI | Munich

Next Ventures

München

On-site

EUR 110,000 - 150,000

Full time

10 hours ago
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Job summary

Next Ventures in Munich is seeking a Team Lead Data Solutions to shape our Data Strategy practice and lead client engagements. You’ll own offerings in Data Governance, Data Strategy and Data for AI, and grow a small team of data professionals.

You'll work directly with clients to design trusted, AI-ready data foundations, translate trends into solutions and contribute to business development and go-to-market activities.

Qualifications

  • 6–8 years of experience in Data Engineering, Data Strategy, BI/Analytics or related data discipline.
  • Leadership experience with teams, workstreams, or consulting offerings.
  • Experience contributing to pre-sales, proposals or RFPs.
  • Strong understanding of modern data platforms and architectures (data lakes, lakehouses, data warehouses).
  • Hands-on or project experience with Databricks, Snowflake, Fabric, and cloud platforms (Azure, AWS, GCP).
  • Knowledge of Data Governance, data quality and AI readiness foundations.
  • Excellent communication of complex topics to senior business and IT stakeholders.
  • Entrepreneurial mindset with ownership and offering development.
  • Fluent German and English.

Responsibilities

  • Shape the Data Strategy practice and contribute to strategic direction and growth.
  • Develop and position offerings in Data Governance, Data Strategy and Data for AI.
  • Identify market opportunities and translate data/AI trends into client solutions.
  • Advise on data strategies, target architectures, governance and AI-ready data capabilities.
  • Lead client engagements end to end from discovery to delivery.
  • Prepare proposals, contribute to RFP responses and present solutions to stakeholders.
  • Build trusted relationships with senior management and IT leaders.
  • Lead a team of approximately 3–5 data professionals; coach and recruit as needed.
  • Represent the offering externally at industry events; contribute to thought leadership.

Skills

Data Engineering
Data Strategy
BI/Analytics
Team Leadership
Pre-sales / Proposals
Modern data platforms
Data Governance
Cloud platforms
Communication to stakeholders
Entrepreneurial mindset
German & English fluency

Tools

Databricks
Snowflake
Microsoft Fabric
Azure
AWS
GCP

Job description

Team Lead Data Solutions | Data Strategy, Governance & AI | Munich

We’re looking for a Team Lead Data Solutionswho combines strong data expertise with an entrepreneurial mindset, enjoys working directly with clients, and wants to help grow a Data Strategy consulting practice.

In this role, you’ll shape how organisations build trusted, AI-ready data foundations—from data strategy and governance to modern data platforms and the capabilities needed to unlock the potential of AI.

You’ll have the opportunity to influence our offerings, support business development, lead client engagements and develop a small team of data professionals.

What you’ll do
Shape the Data Strategy practice
  • Take ownership of the Data Strategy consulting practice, contributing to its strategic direction, growth and go-to-market activities.
  • Develop and position offerings in Data Governance, Data Strategy and Data for AI.
  • Identify market opportunities and translate emerging data and AI trends into valuable client solutions.
Drive client projects and business development
  • Advise clients on data strategies, target architectures, data governance and AI-ready data capabilities.
  • Lead client engagements end to end, from initial discovery and solution design through implementation and delivery.
  • Prepare proposals, contribute to RFP responses and present solutions to client stakeholders.
  • Build trusted relationships with senior management, IT leaders and executive decision-makers.
Lead and develop the team
  • Lead a team of approximately 3–5 data professionals in day-to-day delivery.
  • Coach team members, support their professional development and contribute to recruitment and staffing decisions.
  • Help build a collaborative, high-performing team and strengthen the wider Data division.
Represent the offering externally
  • Build relationships across the data and AI ecosystem.
  • Represent the practice at industry events and networking opportunities.
  • Contribute to thought leadership, publications and the development of our market presence.
What you bring
  • Around 6–8 years of relevant experience in Data Engineering, Data Strategy, BI/Analytics or a related data discipline, ideally in consulting.
  • Initial experience leading teams, workstreams or consulting offerings, with an interest in developing your people-management responsibilities.
  • Experience contributing to pre‑sales, proposals or RFPs—or the motivation to take greater ownership of these activities.
  • A strong understanding of modern data platforms and architectures, including data lakes, lakehouses and data warehouses.
  • Hands‑on or project experience with modern data platforms and cloud technologies such as Databricks, Snowflake, Microsoft Fabric, Azure, AWS or GCP.
  • Knowledge of Data Governance, data quality, data ownership or the foundations required to make enterprise data ready for AI.
  • Confidence communicating complex technical and strategic topics to senior business and IT stakeholders.
  • An entrepreneurial mindset: you enjoy building things, taking ownership and developing an offering beyond individual projects.
  • Fluent German and English skills.
Why consider this opportunity?
  • Real ownership: Help shape a consulting practice and influence its direction and growth.
  • Strategy meets delivery: Work across business challenges, data architecture, governance and AI readiness.
  • Leadership with room to grow: Develop your leadership skills while guiding a small, capable team.
  • Commercial exposure: Participate in client development, proposals and go‑to‑market activities.
  • Visible impact: Work directly with clients and senior stakeholders to turn data and AI ambitions into practical outcomes.
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