Senior Business Intelligence (BI) Team Leader

Project overview

What Will Set You Apart:

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

• Stable employment. On the market since 2008, 1800+ talents currently on board in 7 global sites.
• “Office as an option” model. You can choose to work remotely or in the office.
• Workation. Enjoy working from inspiring locations in line with our workation policy.
• Great Place to Work® certified employer.
• Flexibility regarding working hours and your preferred form of contract.
• Comprehensive online onboarding program with a “Buddy” from day 1.
• Cooperation with top-tier engineers and experts.
• Possibility of access to the Udemy learning platform.
• Certificate training programs. Lingarians earn 500+ technology certificates yearly.
• Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
• Grow as we grow as a company. 76% of our managers are internal promotions.
• A diverse, inclusive, and values-driven community.
• Autonomy to choose the way you work. We trust your ideas.
• Create our community together. Refer your friends to receive bonuses.
• Activities to support your well-being and health.
• Plenty of opportunities to donate to charities and support the environment.
• Modern office equipment. Purchased for you or available to borrow, depending on your location.
• Team Management: Lead, inspire, and manage a cross-functional BI team of at least 15 professionals (BI Tech Lead, Analytics Enginieers), overseeing resource allocation, capacity planning, and performance management.
• Talent Growth & AI Upskilling: Design and execute individualized career development plans, mentorship programs, and upskilling pathways—empowering the team to adopt AI-assisted development workflows and modern architectural practices.
• Model the Way: Foster a culture of accountability, technical excellence, innovation, and psychological safety by leading through example in both client engagements and internal operations.
• Client-Facing Leadership: Serve as the primary point of escalation and strategic advisor for key enterprise accounts, translating complex business needs into scalable, AI-ready BI and data roadmaps.
• Presales & Value Creation: Partner with Sales and Account Management teams to lead presales activities—scoping solutions, estimating effort, presenting architectural proposals, and crafting differentiated, AI-powered value offerings that win new business.
• Stakeholder Alignment: Build long-term, executive-level relationships with client stakeholders, ensuring delivered solutions drive measurable ROI, trust in data, and high user adoption.
• Data & Semantic Architecture: Define and oversee end-to-end data architecture and semantic layer design, ensuring a single source of truth, reusable business logic, and governed metrics across enterprise reporting and AI consumption.
• AI-First BI & Development Frameworks: Champion an AI-first mindset across both delivery and product offerings—integrating AI in BI (e.g., conversational analytics, automated insights, Copilot/Genie experiences) and embedding AI development frameworks (e.g., AI-assisted coding, automated testing, metadata generation, and agentic workflows) to accelerate team velocity and quality.
• Platform & Trend Leadership: Guide architectural best practices across Databricks (Lakehouse, Unity Cat
• Leadership Experience: Proven track record of directly managing, mentoring, and scaling technical teams of 15 or more people in a consulting, agency, or enterprise environment.
• Data & Semantic Architecture: Strong architectural background in modern data architecture (Lakehouse, medallion architecture, data modeling) and semantic layer design (enterprise semantic models, metric stores, governance).
• Technical Expertise: Deep, hands-on architectural understanding of Power BI (semantic modeling, DAX, workspace governance, licensing) and Databricks (Lakehouse architecture, Unity Catalog, Spark, SQL/Python workflows).
• AI-First Orientation: Practical experience applying AI in BI (natural language querying, augmented analytics, AI-ready semantic layers) and leveraging AI development frameworks to boost engineering productivity and solution capabilities.
• Client-Facing & Presales Acumen: Extensive experience in client-facing roles with demonstrated success in presales, solution scoping, RFP responses, and building compelling business cases/value offerings.
• Soft Skills: Exceptional communication, negotiation, and presentation skills, with the ability to influence C-level executives and inspire technical delivery teams.
• Hands-on experience with Microsoft Fabric, Databricks Mosaic AI / Genie, Power BI Copilot, or Azure AI services.
• Relevant industry certifications (e.g., Microsoft Certified: Fabric Analytics Engineer / Power BI Data Analyst, Databricks Certified Data Engineer / Solutions Architect).
• Experience managing P&L, project budgets, and utilization metrics within an IT services or consulting organization.

Project details

• Start: ASAP
• Remote: hybrid
• Location: Remote, Warsaw, PL
• Languages: English