Description:
Director, Enterprise Applications, Data, and AI Platforms; Senior Manager, Automation and Development; Senior Manager, Data Engineering; Senior Manager, Enterprise Applications; Senior Applications Architect; Data Architect; Team Lead, Workflow and Automation; Technical Program Manager; Project Manager; Business Relationship Manager; Vendor and Partner Delivery Leads; Senior Manager, Data Governance
Essential Duties
- Leading the design, development, and lifecycle oversight of Power BI dashboards and reporting solutions, establishing visualization standards across the organization.
- Owning semantic model strategy in Microsoft Fabric, enabling reusable datasets, governed calculations, and enterprise analytics standards.
- Developing advanced DAX measures, KPIs, and calculations while leading performance optimization across models, DAX, report responsiveness, and underlying SQL sources.
- Building and managing Microsoft Fabric datasets using Direct Lake mode, optimizing performance through design considerations and platform constraints.
- Applying Medallion architecture (Bronze/Silver/Gold) and data mesh concepts while ensuring semantic models align with data pipelines and governance frameworks throughout their lifecycle.
- Establishing and maintain key metric definitions, validation routines, and traceability using SQL and predefined business rules.
- Driving governance best practices for semantic models and datasets ensuring scalability, consistency, and maintainability while fostering adoption within the BI ecosystem.
- Defining and managing the testing strategy, incorporating quality standards, User Acceptance Testing frameworks, and validation of business functions and reporting outputs.
- Partnering with business stakeholders and analysts to translate requirements into semantic models and visualizations, ensuring clarity on outcomes and success measures.
- Providing Agile delivery leadership within sprint ceremonies and cross-functional planning to deliver prioritized analytics outcomes.
- Leveraging AI tools, contributing to AI-powered analytics solutions, and adhering to firm AI governance standards, including responsible use, classification, and deployment controls.
- Advocating enterprise processes, procedures, security standards, and a knowledge-first approach, serving as an example for the Enterprise Applications team.
Additional Duties
EXPERIENCE SKILLS REQUIRED
- Hold Bachelor’s degree in a technical field or equivalent experience; possess or obtain relevant Microsoft certifications including PL-300 and DP-600.
- Demonstrate knowledge of Medallion architecture and data mesh concepts, with experience implementing and governing Microsoft Fabric semantic models and enterprise analytics standards.
- Maintain a secure, professional workspace and be available to travel up to 10% for offices, vendors, conferences, or seminars.
- Be available for scheduled release windows and production support events, occurring 2–4 times per quarter, including evenings or weekends.
- Demonstrate advanced DAX expertise and Power BI development skills, including semantic modeling, visualization creation, and performance optimization.
- Demonstrate ability translating business needs into functional analytics requirements, with the ability to communicate technical concepts clearly to non-technical stakeholders.
- Demonstrate exceptional SQL skills for querying and validation, with experience validating KPIs and metrics against business rules and source systems.
- Demonstrate exceptional stakeholder communication and ability to lead delivery within an Agile model (e.g., Jira, Azure DevOps, Confluence).
- Collaborate, engage, and communicate with team members across locations and time zones while interacting professionally with diverse personalities.
- Communicate technical concepts visually through diagramming, whiteboarding, and collaborative tools in hybrid or remote work settings effectively.
- 2+ years of progressive experience as a Power BI Developer or BI Engineer delivering enterprise reporting solutions.
- Possess experience using Microsoft Copilot and AI-assisted tools within enterprise environments to accelerate analytics development, quality, and insight delivery.