Sr. Manager, Data & Analytics

Quanta Services•Houston, TX

About The Position

The Senior Manager of Data & Analytics is a strategic leadership role responsible for directing Quanta's enterprise-wide data and analytics function through multiple subordinate managers and technical leads. This position oversees a multi-disciplinary organization spanning data product development, business intelligence, advanced analytics, and data infrastructure—ensuring alignment with corporate strategy and delivering transformative business value across the enterprise. This leader manages through subordinate managers and technical leads who oversee specialized teams focused on critical business systems (Spectrum, JDE, OneStream, FleetIQ, PeopleIQ, OperationsIQ) and emerging analytics capabilities (Databricks, AI/ML). The role requires orchestrating complex, interdependent initiatives across multiple technology platforms while maintaining operational excellence and fostering innovation. The Senior Manager provides strategic input into technology roadmaps, resource allocation, and organizational design decisions that affect the entire data and analytics function. This position serves as a key liaison between executive leadership and technical teams, translating business imperatives into executable technical strategies while ensuring the organization has the talent, tools, and processes to deliver enterprise-scale solutions.

Requirements

Bachelor's or Master's degree in Data Science, Analytics, Computer Science, Business, or related field
12+ years of progressive experience in data and analytics, with at least 7 years in leadership roles
Demonstrated experience managing through subordinate managers in complex, matrixed organizations
Proven track record of leading multiple teams (25+ professionals) across diverse technical domains
Deep expertise in enterprise data architecture, analytics platforms, and modern data technologies
Experience managing enterprise-scale initiatives with budgets exceeding $5M annually
Strong business acumen with ability to translate technical capabilities into business outcomes
Excellent executive communication and stakeholder management skills
Experience with Agile/SAFe methodologies at the portfolio or program level
Enterprise data platforms and cloud architectures (Azure, AWS, Databricks)
Modern analytics tools and frameworks (SQL, Python, R, Spark)
Business intelligence platforms (Tableau, Power BI, Qlik)
Data governance, security, and compliance frameworks
DevOps/DataOps practices and CI/CD pipelines
Enterprise systems integration (ERP, CRM, operational systems)
Strategic thinking and long-term planning
Organizational design and talent development
Change management and transformation leadership
Executive presence and influence
Complex problem-solving and decision-making under ambiguity
Building high-performance, collaborative cultures

Nice To Haves

MBA or advanced technical degree
Experience in utilities, energy, or infrastructure industries
Advanced certifications in data management, cloud platforms, or analytics (e.g., Databricks, AWS, Azure)
Experience with AI/ML productionization and MLOps
Background in consulting or professional services with exposure to diverse business models
Track record of building and scaling analytics organizations from the ground up

Responsibilities

Strategic Leadership & Organizational Management
Lead and develop a complex organization of 30+ data professionals through subordinate managers and technical leads across multiple specialized teams
Provide strategic direction for enterprise data initiatives spanning multiple business units and technology platforms
Inform and support execution of the long-term data platform modernization and data innovation roadmap
Drive organizational design decisions including team structure, role definitions, and talent development strategies
Manage resource allocation and prioritization across competing enterprise initiatives
Serve as primary escalation point for complex technical and organizational challenges
Cross-Functional Leadership & Stakeholder Management
Partner with executive leadership to shape data strategy and influence corporate decision-making
Lead cross-functional initiatives requiring coordination between data products, analytics, infrastructure, and business stakeholders
Establish governance frameworks for data quality, security, compliance, and operational excellence across the enterprise
Communicate strategic vision and technical roadmaps to both technical and executive audiences
Technology Strategy & Innovation
Drive strategic planning and phased execution of enterprise data platform transformation initiatives
Direct the evaluation, adoption, and implementation of enterprise analytics technologies and platforms
Oversee the development and maintenance of critical data products supporting core business operations
Champion modern data engineering practices, cloud-native architectures, and advanced analytics capabilities
Identify and champion innovative data solutions that create competitive advantage and operational efficiency
Ensure technical standards and best practices are consistently applied across all subordinate teams
Operational Excellence & Delivery
Ensure consistent delivery of high-quality analytics solutions across multiple concurrent initiatives
Establish and monitor key performance indicators for team productivity, solution quality, and business impact
Drive continuous improvement in processes, tools, and methodologies across the data organization
Manage vendor relationships and technology partnerships critical to organizational success