Sr. Director Analytics & Data
United Site Services, Inc
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Benefits offered by this job
Job summary
United Site Services seeks an accomplished Sr. Director, Analytics & Data to build and lead a cross-functional analytics function spanning Supply Chain & Operations, Finance, and Marketing.
The role focuses on data strategy, governance, and a modern data platform, applying AI/ML to real-world logistics and business problems. Ideal candidates combine analytical rigor with the ability to influence senior stakeholders and drive enterprise-wide, data-driven decision-making and AI-enabled tools
Qualifications
- Minimum 4 Year / Bachelors Degree in a quantitative field (Business, Economics, Engineering, Statistics, Data Science)
- MBA or advanced degree a plus
- 10+ progressive analytics/data leadership experience
- 5+ years of managing teams
- Demonstrated experience spanning at least three domains: supply chain/operations, finance/FP&A, and marketing/commercial analytics.
- Hands-on experience deploying AI/ML models into production, and a strong point of view on applying generative AI to business operations.
- Proven ability to build analytics functions from the ground up and drive adoption with nontechnical executive stakeholders.
- Demonstrated experience owning enterprise data strategy and governance, including data quality, master data management, and cross-functional data standards.
- Strong SQL and experience with modern BI/analytics tools (e.g., Sigma, Power BI, Tableau, Looker) and data platforms (e.g., Snowflake, Databricks).
Responsibilities
- Own the enterprise analytics roadmap, aligning data and AI investments with USS's growth, margin, and customer experience priorities.
- Build, mentor, and scale a team of analysts, data scientists, and analytics engineers.
- Serve as a trusted advisor to the executive team, translating data into actionable strategic recommendations.
- Establish governance, data quality standards, and a consistent framework for KPIs across departments.
- Own enterprise data governance, including data quality, lineage, master/reference data management, and stewardship roles across Operations, Finance, and Marketing.
- Partner with IT/Engineering to define and maintain the enterprise data platform (warehouse/lakehouse), integration pipelines, and access controls.
- Establish and enforce data policies for privacy, security, retention, and regulatory compliance in partnership with Legal and IT.
- Define the single source of truth for core enterprise metrics and ensure consistent definitions and reporting standards company-wide.
- Act as the executive escalation point for enterprise data quality, access, and infrastructure issues impacting business operations.
- Lead analytics for fleet management, route optimization, service scheduling, inventory, and network/facility planning.
- Develop demand forecasting and capacity planning models to support seasonal and regional service variability.
- Partner with Operations leadership to identify efficiency opportunities in labor productivity, asset utilization, and last-mile logistics.
- Build predictive maintenance and asset-lifecycle models for the equipment fleet.
- Partner with FP&A on revenue analytics, margin analysis, pricing strategy, and cost-to-serve modeling.
- Support M&A integration analytics, including synergy tracking and post-acquisition performance measurement.
- Build dashboards and forecasting models that connect operational drivers to financial outcomes (EBITDA, unit economics, working capital).
- Provide analytical support for budgeting, long-range planning, and board-level reporting.
- Lead marketing mix, lead-generation, CAC, LTV, and retention analytics.
- Enable segmentation and targeting models to support commercial growth and cross-sell/up-sell strategies.
- Partner with Marketing and Sales to measure campaign ROI and optimize the customer funnel.
- Champion the adoption of AI/ML and generative AI across the organization - from operational forecasting and route optimization to customer service automation and internal productivity tools.
- Evaluate, pilot, and scale AI use cases with clear ROI, working closely with IT/Engineering on data infrastructure and MLOps.
- Stay ahead of emerging AI capabilities (LLMs, agentic workflows, predictive/prescriptive analytics) and translate them into practical business applications.
- Establish responsible-AI practices, including data privacy, model governance, and change management for AI adoption.
Skills
Education
Tools
Job description
United Site Services is the industry leader in comprehensive site services, committed to creating partnerships that help enable our customers’ project and event success. Our deep industry expertise, excellence in process management, and dedication to corporate responsibility are pillars of our value proposition; each supported by tangible, best practice programs.
Our success is fueled by the dedication and collaboration of our diverse team, which includes field technicians, customer care representatives, sales professionals and functional experts. Each member of our team plays a vital role in ensuring a seamless and reliable experience for our customers.
By joining United Site Services, you will be part of an organization that values continuous improvement, teamwork, and excellence in every aspect of our business.
The Sr. Director, Analytics & Data builds and leads a high-impact, crossfunctional analytics function spanning Supply Chain & Operations, Finance, and Marketing/Commercial - while also serving as the enterprise owner of data strategy, governance, and infrastructure. This is a strategic, hands‑on leadership role for someone who can translate complex operational and financial data into clear business insight, own the integrity and accessibility of data as a company-wide asset, and who is fluent in applying modern AI and machine learning to real‑world logistics and business problems.
The ideal candidate combines deep analytical rigor with the ability to influence senior stakeholders and drive enterprise‑wide adoption of data‑driven decision‑making and AI‑enabled tools.
- Own the enterprise analytics roadmap, aligning data and AI investments with USS's growth, margin, and customer experience priorities.
- Build, mentor, and scale a team of analysts, data scientists, and analytics engineers.
- Serve as a trusted advisor to the executive team, translating data into actionable strategic recommendations.
- Establish governance, data quality standards, and a consistent framework for KPIs across departments.
- Serve as the enterprise owner of data strategy, standards, and architecture - accountable for data as a shared, trusted company asset across all business units.
- Own enterprise data governance, including data quality, lineage, master/reference data management, and stewardship roles across Operations, Finance, and Marketing.
- Partner with IT/Engineering to define and maintain the enterprise data platform (warehouse/lakehouse), integration pipelines, and access controls.
- Establish and enforce data policies for privacy, security, retention, and regulatory compliance in partnership with Legal and IT.
- Define the single source of truth for core enterprise metrics and ensure consistent definitions and reporting standards company‑wide.
- Act as the executive escalation point for enterprise data quality, access, and infrastructure issues impacting business operations.
- Lead analytics for fleet management, route optimization, service scheduling, inventory, and network/facility planning.
- Develop demand forecasting and capacity planning models to support seasonal and regional service variability.
- Partner with Operations leadership to identify efficiency opportunities in labor productivity, asset utilization, and last‑mile logistics.
- Build predictive maintenance and asset‑lifecycle models for the equipment fleet.
- Partner with FP&A on revenue analytics, margin analysis, pricing strategy, and cost‑to‑serve modeling.
- Support M&A integration analytics, including synergy tracking and post‑acquisition performance measurement.
- Build dashboards and forecasting models that connect operational drivers to financial outcomes (EBITDA, unit economics, working capital).
- Provide analytical support for budgeting, long‑range planning, and board‑level reporting.
- Lead marketing mix, lead‑generation, customer acquisition cost (CAC), lifetime value (LTV), and retention/churn analytics.
- Enable segmentation and targeting models to support commercial growth and cross‑sell/up‑sell strategies.
- Partner with Marketing and Sales to measure campaign ROI and optimize the customer funnel.
- Champion the adoption of AI/ML and generative AI across the organization - from operational forecasting and route optimization to customer service automation and internal productivity tools.
- Evaluate, pilot, and scale AI use cases with clear ROI, working closely with IT/Engineering on data infrastructure and MLOps.
- Stay ahead of emerging AI capabilities (LLMs, agentic workflows, predictive/prescriptive analytics) and translate them into practical business applications.
- Establish responsible‑AI practices, including data privacy, model governance, and change management for AI adoption.
This role will supervise the Business Intelligence Team
- Minimum 4 Year / Bachelors Degree in a quantitative field (Business, Economics, Engineering, Statistics, Data Science)
- MBA or advanced degree a plus
- 10+ of progressive analytics/data leadership experience
- 5+ years of managing teams
- Demonstrated experience spanning at least three of the following domains: supply chain/operations, finance/FP&A, and marketing/commercial analytics.
- Hands‑on experience deploying AI/ML models into production, and a strong point of view on applying generative AI to business operations.
- Proven ability to build analytics functions from the ground up and drive adoption with nontechnical executive stakeholders.
- Demonstrated experience owning enterprise data strategy and governance, including data quality, master data management, and cross‑functional data standards.
- Strong SQL and experience with modern BI/analytics tools (e.g., Sigma, Power BI, Tableau, Looker) and data platforms (e.g., Snowflake, Databricks).
- Experience in logistics‑, field‑services‑, distribution‑, or asset‑intensive business is highly preferred.
- Sit while answering phones or reply to emails: Constant
- Use hands and fingers to handle, control or feel objects tools or controls: Frequent
- Repeat the same movements when entering data: Frequent
- See details of objects that are less than a few feet away: Frequent
- Understand the speech of another person: Frequent
- Focus on one source of sound and ignore others: Frequent
- Hear sounds and recognize the difference between them: Frequent
- See differences between colors, shades and brightness): Frequent
All full‑time employees working an average of 30 hours or more per week are eligible for the following benefits:
- Holiday & Paid Time Off (pro‑rated for Part‑Time employees)
- Medical/Pharmacy
- Dental
- Vision
- Employer‑Paid Short‑Term Disability
- Employer‑Paid Employee Basic Life & Accidental Death and Dismemberment
- Voluntary Employee Life & Accidental Death and Dismemberment
- Voluntary Spousal Life
- Voluntary Dependent Life
- Hospital Indemnity, Accident and Critical Illness
- Commuter/Transit Account
- Healthcare Flexible Spending Account
- Dependent Care Flexible Spending Account
- Health Savings Account
- 401(k) with employer match
- Employer‑Paid Employee Assistance Program (EAP)
- Employee Discounts
$191,500.00 – $287,200.00 / year
At United Site Services, our salary ranges reflect the minimum and maximum base pay for the posted position applicable to all locations across the US. Within the posted salary range, individual pay is determined by the geographic location, job related skills, experience, education, and certifications. Our total compensation package includes base pay plus a comprehensive benefits program.
Some positions may require secure site access and/or domestic air travel. All candidates for positions which require secure site access and/or domestic air travel must possess an acceptable form of identification to comply with state and federal regulations, such as REAL ID‑compliant driver’s license or state ID, or U.S. passport. This statement is not intended to require documentation beyond what is acceptable under the federal I‑9 form process administered by the U.S. Citizenship and Immigration Services (USCIS); and should not be construed as creating additional employment eligibility verification requirements.
United Site Services is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant or employee based on any legally‑recognized basis, including, but not limited to: race, color, religion, sex (including pregnancy, lactation, childbirth or related medical conditions), sexual orientation , gender identity , age (40 and over), national origin or ancestry, citizenship status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status or any other status protected by federal, state or local law. Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co‑workers.
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