BI Lead

Acolad is building a governed Data Operating System for the Group. We are moving from scattered reporting toward fewer, better, trusted, auditable data products that executives can make decisions on. The Data and AI function owns the canonical datasets, the KPI registry, the executive dashboards, and the governance standards that make our numbers defensible at board level. We are hiring a hands-on Team Lead to own this surface end to end. You will lead the analytics squad that models data in Snowflake, builds executive dashboards in Tableau, and governs how KPIs are defined, certified, and consumed across Finance, Sales, Operations, and client delivery. This is a player and coach role. You will set the standard by doing the work, raise the team by coaching it, and earn trust by being the person stakeholders can rely on to keep them informed and unblocked. Key Responsibilities - Snowflake modelling. Design and maintain the canonical, certified data models that feed executive and operational reporting. You own data quality, lineage, reproducibility, and the path toward one official surface per domain. - Tableau executive dashboards. Deliver clean, fast, decision-grade dashboards for the CEO, CFO, CRO, and the Executive Committee. Snowflake computes the KPIs. Tableau displays them. - KPI governance. Run the KPI registry as the single source of truth for metric definitions. No definition, no build. - Intake and prioritization. Own the demand pipeline. Decompose bundled requests, qualify them against clear definitions and ownership, and prioritize against capacity. - Stakeholder management. Operate as a trusted, responsive partner to Finance, Sales Operations, Account Management, and the Executive Committee. - Quality assurance. Establish and enforce testing, reconciliation, and validation standards. - Data governance. Apply and extend data contracts, certification standards, access and license policies, and dashboard rationalization. - Coaching and team leadership. Lead a small analytics team. Set technical standards, review work, build knowledge redundancy and grow the capability of each analyst. Requirements - Proven experience leading a BI or analytics team, as a hands-on lead who still builds, reviews, and ships. - A career path through both data analysis and data engineering. - A track record of delivering executive-grade reporting that decision-makers actually trust and use. - Experience setting standards for data quality, governance, and KPI definition in an organization with competing demands. - A service-oriented approach to stakeholder work. - Snowflake. Deep, hands-on expertise in data modelling, performance, and certified dataset design. - Tableau. Expert-level dashboard design and delivery for senior audiences. - SAP. Solid working knowledge of SAP as a source system for financial and operational data. - SQL and data transformation. Strong SQL, with experience in modern transformation and pipeline practices. - Python and data engineering. Hands-on Python for data pipeline development, automation, and transformation. Experience with production-grade ETL/ELT workflows. - Our daily stack. Comfort across the broader tooling landscape for ingestion, transformation, orchestration, version control, and documentation. Benefits - Ownership of a high-visibility surface that the Executive Committee depends on. - A mandate to build the standard, not to maintain legacy reporting. - A remote-first setup based in Portugal, within a global Data and AI function. - The chance to shape how a large international group governs and trusts its data.