Sr. Manager, Data Reporting & Analytics

Be visionary

Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.​

We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.

Job Description

Job Summary:

The Senior Manager, Data Reporting & Analytics leads the enterprise Power BI and reporting function across multiple ERP platforms and business units. This role is accountable for both delivery and transformation—managing a team of Power BI developers while driving the transition from decentralized, gateway-based reporting to standardized Microsoft Fabric–based analytics. This role combines strong people leadership, deep technical expertise in Power BI and Microsoft Fabric, and enterprise-level coordination across business, ERP, and data platform teams. The Senior Manager ensures reporting solutions are scalable, governed, performant, and aligned to enterprise standards—while pragmatically supporting legacy content during the transition period.

Key Responsibilities:

People Leadership & Delivery Management:

• Lead, coach, and develop a team of Power BI developers
• Own delivery planning, capacity management, and prioritization across reporting demands
• Establish technical expectations, quality standards, and best practices across the team
• Conduct performance reviews, mentor developers, and build long-term analytics capability

Enterprise Reporting Ownership:

• Own the enterprise reporting portfolio spanning multiple ERP systems and data sources
• Coordinate reporting development across business units to reduce duplication and inconsistency
• Rationalize legacy and bespoke reports, guiding consolidation toward standard solutions
• Serve as the accountable owner for reporting quality, performance, and reliability

Microsoft Fabric Transition & Modernization:

• Lead the evolution from gateway-dependent, ERP-specific Power BI architectures to Microsoft Fabric–aligned patterns
• Define coexistence strategies for legacy reports during the transition period
• Drive adoption of shared semantic models, standardized datasets, and reusable reporting assets
• Partner with data engineering and platform teams on Lakehouse, Warehouse, and OneLake integration

Technical Direction & Governance:

• Set technical standards for Power BI, semantic modeling, DAX, and report design
• Provide hands-on architecture and design reviews for complex or high-impact analytics
• Act as escalation point for performance optimization, model design, and advanced DAX issues
• Ensure appropriate use of Row-Level Security (RLS), Object-Level Security (OLS), and governance controls

Stakeholder & Demand Management:

• Act as the senior reporting point-of-contact for business and ERP stakeholders
• Translate business questions into scalable, enterprise-ready reporting solutions
• Balance enterprise governance with pragmatic business delivery
• Clearly communicate trade-offs, priorities, and roadmap implications

Enablement & Community Leadership:

• Oversee development of Power BI training materials and internal best-practice guidance
• Sponsor and run internal Power BI user group sessions (quarterly or more frequently)
• Promote adoption of standardized patterns and continuous improvement across the organization

Required Professional & Leadership Experience:

• 8–12+ years in analytics, BI, or reporting roles
• 3–7+ years managing Power BI developers or analytics teams
• Proven experience leading reporting functions through architectural or platform transformation
• Demonstrated ability to influence across business units and technology teams

Technical Expertise:

• Expert-level Power BI experience:
  • Advanced semantic modeling
  • DAX optimization and performance tuning
  • Large-scale enterprise datasets
• Strong working knowledge of Microsoft Fabric, including:
  • Lakehouse, Data Warehouse, OneLake
  • Direct Lake and Fabric-aligned modeling patterns
• Deep experience with:
  • Dimensional modeling (star / snowflake schemas)
  • SQL optimization and query performance
  • On-premises gateways and cloud transition strategies