Director Data Analytics Manager

Drive measurable business impact by owing KPIs and data-driven insights to demonstrate business ROI. Data Architecture & Modeling: Deep expertise in dimensional modeling, lakehouse/warehouse architectures, data products, semantic layers, and scalable analytical data models. Power BI: Advanced expertise in Power BI, including semantic modeling, DAX, performance optimization, RLS/security, reusable datasets, executive analytics, and enterprise-scale BI patterns. Data Engineering: Ability to design and technically review ingestion, transformation, orchestration, and data-quality pipelines using SQL, Python and modern data engineering frameworks. Analytics Applications: Experience building data-driven applications and Fabric-based analytics experiences that go beyond dashboards to enable exploration, workflows, insights, and action. AI & Agents: Technical depth in GenAI, LLMs, agents, RAG/grounding, prompt orchestration, evaluation, and integrating AI with governed enterprise data and analytics. Engineering Excellence: Establish standards for Git/source control, testing, CI/CD, observability, data quality, security, documentation, deployment, and lifecycle management for production analytics. Technical Architecture Leadership: Personally lead architecture and design reviews, challenge technical approaches, resolve complex trade-offs, and establish reusable patterns across data, Fabric, Power BI, apps, and AI. Technical Talent & Strategy: Build and develop strong analytics engineers, BI engineers, data scientists, and technical leaders while defining the longer-term data + analytics + AI architecture and technical roadmap for the organization. Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, data engineering, software development, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, data engineering, software development, business intelligence, or business and financial analysis Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, data engineering, software development, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 12+ years experience in data analysis and reporting, data science, data engineering, software development, business intelligence, or business and financial analysis OR equivalent experience. 3+ years people management experience and/or informal/indirect team leadership experience. 5+ years in customer-facing consulting, professional services, solution delivery, or technical advisory roles. Demonstrated ability to lead enterprise-scale data, analytics, BI, or data engineering solutions and teams, including setting technical direction, guiding architecture reviews, establishing engineering standards, and collaborating across organizations. Knowledge of data architecture, modeling, semantic layers, and modern lakehouse and warehouse architectures, with proficiency in SQL and familiarity with Python or similar programming languages. Proficiency with Power BI, including semantic models, DAX, security, performance optimization, and enterprise BI solutions. Background designing and delivering AI and Generative AI solutions grounded in enterprise data, including data applications, Copilots, intelligent agents, and multi-agent systems. Ability to mentor and develop technical talent across data, analytics, and AI disciplines.