This is a Hybrid , Permanent Role in Dublin City Centre
Candidates must be in Ireland with full working rights with Stamp 4 or Eu Citizen only
Business Intelligence and Analytics Team Lead
Location: Dublin, Ireland (Hybrid) 3 days onsite Per week
Salary: €90,000 - €100,000 DOE + Package
About the Department & Role
This role provides technical and people leadership for the global Business Intelligence and Analytics platforms. As the BI Team Lead, you will manage a distributed team of BI developers across multiple regions (including North America and APAC) while remaining hands-on in solution architecture, data governance, and platform engineering.
This is a high-impact, career-defining role. You will act as the key technical leader driving our strategic migration from legacy reporting solutions to a modern data platform built on Microsoft Fabric, Power BI, and Databricks, while embedding AI-assisted development practices into our software development lifecycle (SDLC).
Key Responsibilities
- Team Leadership & Mentorship: Manage, mentor, and upskill a distributed team of 4 BI developers across time zones, conducting regular 1-on-1s, code reviews, and performance evaluations.
- Platform Evolution & Architecture: Lead the delivery of governed, scalable analytics solutions, spearheading the strategic migration away from legacy BI tools (Qlik Sense) toward Power BI, Microsoft Fabric, and Databricks.
- Integration & Governance: Define and enforce standards for BI semantic layers, data governance frameworks, security (row/column-level), and integration patterns between Databricks, APIs, and reporting engines.
- Stakeholder Management & Gatekeeping: Partner closely with Scrum Product Owners, Cloud/Data Engineering teams, C-suite executives, and external clients-tailoring technical messaging to align with diverse business priorities.
- AI & Engineering Standards: Drive the adoption of AI coding assistants (e.g., GitHub Copilot, Amazon Q) to optimize development workflows, while enforcing core engineering practices including Git version control, Python scripting, and CI/CD pipelines.
- Cloud & Operations: Oversight of cloud architectures (AWS/Azure/GCP) with an eye toward cost management, resource optimization, and SLA compliance.
Qualifications & Experience
Must-Haves:
- Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.
- Leadership Experience: Proven track record leading, mentoring, or acting as a technical lead for a team of BI/Data developers.
- BI & Data Engineering Core: 5+ years of experience designing and building enterprise BI solutions, complex SQL/DAX queries, data models, and database objects.
- Modern Analytics Stack: Hands-on experience with Power BI and Databricks. Exposure to or experience with Qlik Sense / QlikView (or legacy BI platforms) is highly valued to guide platform migration.
- Cloud Technologies: 5+ years of experience working with cloud environments (AWS, Azure, or GCP), including S3/storage services, cloud databases, and cloud security frameworks.
- Developer Workflows & Scripting: Strong proficiency in Python, Git version control, CI/CD pipelines, and API development/consumption.
- AI Tooling Adoption: Practical experience leveraging AI coding assistants (e.g., GitHub Copilot, Amazon Q) to improve developer productivity and problem-solving.
- Agile & Governance: Experience working in Agile/Scrum environments alongside Product Managers and experience enforcing data governance/security standards.
Nice-to-Haves:
- Financial Services Domain: Prior experience in Financial Services, Banking, Asset Management, or Hedge Fund operations.
- Microsoft Fabric: Knowledge of Microsoft Fabric architecture (OneLake, Direct Lake, Lakehouses/Warehouses).
- Cloud Cost Management: Understanding of cloud compute optimization and budget forecasting.
Key Characteristics for Success
- Self-Motivated & Accountable: Able to drive initiatives independently without hand-holding.
- Adaptable Communicator: Skilled at translating complex technical constraints into clear business terms for executive leadership and product stakeholders.
- Growth Mindset: Active interest in emerging technologies with a passion for continuous learning and team skill development.
Work Location & Schedule
- Location: Hybrid (3 days/week in-office)
- Schedule: Core business hours with flexibility required to overlap with global team members across regions.
