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Power BI Lead

headspin
Companyheadspin
CategoryData & Analytics
Location
Remote
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
First seen24 Jul 2026 (the employer did not state a posting date)
Last verified11 Aug 2026
SourceEmployer ATS (bamboohr)
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Description
Bottom line: The Power BI Lead is the technical and architectural authority for all BI reporting across MCP/LOS. This person sets the standard - owns the semantic layer, governs the data model, mentors the analyst, and manages intake - while remaining hands-on building the most complex reports and dashboards. The role requires equal parts technical depth, design discipline, and stakeholder credibility across operations, IT/Engineering, and executive leadership. CORE RESPONSIBILITIES ARCHITECTURE & DATA MODEL • Design and own the Power BI semantic layer (datasets, shared models, calculated measures) • Define the strategy for sourcing data from both MCP/LOS directly and the data warehouse/mart • Establish medallion or equivalent layering conventions for data freshness and reliability • Govern gateway configuration, scheduled refresh, and performance optimization GOVERNANCE & STANDARDS • Define and enforce naming conventions, measure libraries, and report templates • Own workspace organization, access control, and row-level security (RLS) patterns • Establish version control and deployment pipeline practices (e.g., PBIP/Git) • Maintain documentation standards for datasets, measures, and data lineage HANDS-ON DEVELOPMENT • Build and own the most complex reports - executive dashboards, KPI scorecards, regulatory outputs • Write advanced DAX for complex time intelligence, ratios, and dynamic filtering • Design Power Query/M transformations from both MCP DB and warehouse sources • Review and approve analyst-produced reports before publishing to business stakeholders TEAM & INTAKE • Manage and prioritize the BI request intake queue across all stakeholder groups • Assign, scope, and review analyst work; provide technical mentorship • Represent BI capability in cross-functional planning and project discussions • Partner with IT/Engineering on data model changes that affect reporting REQUIRED SKILLS Technical • Advanced Power BI Desktop - complex data models, composite models, DirectQuery • Advanced DAX - time intelligence, iterators, context transition, dynamic measures • Power Query / M - multi-source transformation, parameterization, error handling • SQL proficiency - query optimization, joins, aggregations against relational DBs • Familiarity with data warehouse concepts - star schema, slowly changing dimensions • Power BI Service administration - workspaces, deployment pipelines, RLS, gateway • Version control fundamentals (Git or equivalent) Functional & Leadership • Proven ability to define BI standards and enforce adoption across a team • Experience designing executive-facing dashboards with clear KPI storytelling • Mortgage/lending industry familiarity - pipeline metrics, pull-through, cycle time, regulatory reporting • Ability to translate ambiguous business asks into structured analytical requirements • Player/coach orientation - willing to stay hands-on while providing oversight • Comfortable presenting to and defending design decisions with executive stakeholders COMMUNICATION REQUIREMENTS BY STAKEHOLDER Executive / Leadership KPI dashboards, strategic reporting, intake prioritization discussions • Present data clearly with business context - not just numbers, but meaning • Manage expectations on what is and isn't measurable given data availability • Defend design and methodology decisions concisely and with confidence Internal Business / Operations Requirements gathering, report delivery, training, issue resolution • Translate user requests into structured data requirements without jargon • Manage intake prioritization transparently - explain trade-offs clearly • Deliver reports that are self-service where feasible, reducing dependency IT / Engineering Data model changes, source system access, warehouse/mart design collaboration • Engage technically - able to discuss schema design, query performance, and data pipeline impacts • Provide clear reporting requirements upstream so data is structured correctly at the source • Flag reporting blockers caused by data quality or model gaps with specificity Disclaimer:   HeadSpin does not charge any fees at any stage of the recruitment or selection process. We will never ask candidates to pay money or share financial information in exchange for a job offer. If you receive any communication requesting payment on behalf of HeadSpin, please treat it as fraudulent and report it immediately to [email protected]