PowerBI Lead

We are looking for a Power BI Lead to join our dynamic Tech, Data & AI team. The ideal candidate is a visionary and inspiring expert with a strong analytical mindset and a passion for problem-solving.

In this role, you will define and establish standards for BI engineering, including reporting best practices, quality gates, guidelines, and governance frameworks to ensure the efficient and consistent management of the BI landscape. You will drive adherence to these standards across the organization, ensuring consistency, quality, and reliability.

You will also take ownership of the central Power BI platform, collaborating closely with Business Intelligence teams and self-service users to optimize its management and adoption. Additionally, you will play a key role in simplifying and supporting the migration of the broader reporting landscape toward a more streamlined, efficient, and scalable BI environment.

Key Duties and Responsibilities

Reporting to the Data Platform Lead, your key responsibilities will include:

1. Manage and optimize the Power BI platform: Oversee platform administration, establish a well-structured project architecture, manage access rights, and streamline delivery processes to ensure effective and consistent adoption across SCOR.

2. Establish technical standards and best practices: Provide technical leadership and guidance on Power BI development, defining standards and quality controls to ensure reliable solutions, robust production releases, and alignment with industry best practices.

3. Drive BI engineering transformation: Assess the existing BI landscape, identify and define migration strategies, evaluate technical complexity, and support the implementation of initiatives aimed at simplifying and modernizing the reporting ecosystem.

4. Address key reporting architecture challenges: Evaluate technical requirements and recommend the most suitable tools and technologies for different use cases, covering areas such as secure report sharing, on-demand versus precomputed data marts, audit trails, and reporting performance.

5. Empower teams and promote continuous learning: Support BI teams and self-service users in developing their Power BI expertise and increasing their autonomy, while staying up to date with emerging technologies and innovations, including AI-powered BI and automated insights.

6. Collaborate with cross-functional stakeholders: Work closely with Business, Technology, Data & AI teams by contributing to workshops, design sessions, PI planning, sprint reviews, and other collaborative forums to drive continuous improvement and deliver meaningful enhancements to the reporting ecosystem.

Required Experience & Competencies

Professional Experience

• 7+ years of experience as a Data Engineer, BI Engineer, Analytics Engineer, or in a similar technical role, with a proven track record of working across complex, distributed BI and reporting ecosystems.

• End-to-end experience across the BI lifecycle, including requirements analysis, data modeling, data mart development, report and dashboard development, maintenance, troubleshooting, and BI platform administration and upgrades.

• NICE-TO-HAVE: hands-on experience in BI migration and modernization projects, including assessing existing environments, defining migration approaches, managing technical complexity, and delivering successful outcomes.

• NICE-TO-HAVE: Experience working in regulated environments, with a strong understanding of audit requirements, compliance controls, and the ability to support audit activities.

Technical Skills & Technology Stack

• Power BI – Advanced: Strong hands-on expertise in Power BI development and administration, including report and dashboard development, workspace and access management, deployment processes, platform governance, performance optimization, and troubleshooting.

• SQL & Data Modeling – Advanced: Strong SQL skills and proven experience designing and developing data marts, dimensional models, and analytical data structures. Solid understanding of data warehousing principles, including star and snowflake schemas, slowly changing dimensions (SCDs), and data modeling best practices.

• BI Platforms & Reporting Tools: Practical experience developing, maintaining, and administering BI platforms. Experience with Power BI is essential; exposure to Tableau, SAP BusinessObjects, or other enterprise reporting platforms is an advantage.

• BI Architecture & Engineering: Strong understanding of BI architecture, reporting standards, development lifecycle management, release processes, quality controls, and best practices for building reliable, scalable, and maintainable BI solutions.

• Data Governance & Privacy: Solid knowledge of data management, data access controls, data security, privacy, and governance principles, with the ability to apply them in a regulated enterprise environment.

• Palantir Foundry & Python: Experience with Palantir Foundry and/or Python is a plus.

• AI for BI: Hands-on exposure to AI-enabled BI capabilities, automated insights, natural-language analytics, or other AI-driven reporting innovations is an advantage.

Core Competencies & Ways of Working

• Analytical and solution-oriented: Strong analytical thinking, a structured and rigorous mindset, and the ability to investigate complex technical challenges and propose effective solutions.

• Technical ownership: Ability to establish technical standards, define best practices, challenge existing approaches, and drive their adoption across teams without direct people management responsibilities.

• Collaboration and knowledge sharing: A proactive team player who supports colleagues through technical guidance, knowledge sharing, and mentoring, helping BI developers and self-service users strengthen their technical skills and autonomy.

• Stakeholder communication: Ability to communicate clearly and adapt messaging to diverse audiences across Business, Data, Technology, and IT.

• Process and quality orientation: Strong attention to detail and the ability to define, document, and promote consistent development standards, governance processes, and quality controls.

• Adaptability and prioritization: Comfortable working in a complex, matrixed, and international environment, balancing multiple priorities while maintaining a strong focus on delivery quality.

• Curiosity and continuous improvement: Proactive, committed, and eager to challenge the status quo, explore emerging technologies, and continuously improve the BI and reporting ecosystem.