From Ferguson Enterprises's posting. “We” and “our” refer to the employer.
Job Posting:
Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers’ complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other.
Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful.
You will build a career that you are proud of, at a company you can believe in.
Senior Manager, Enterprise Analytics & Data Platforms
The Senior Manager, Enterprise Analytics & Data Platforms leads teams responsible for enterprise analytics, reporting, and data platform capabilities that enable data-driven decision making across the organization.
This role requires a strong balance of leadership, business partnership, and technical acumen. The leader will manage managers and technical teams while driving strategy, delivery, modernization, and operational excellence across analytics, data engineering, reporting, and AI-enabled capabilities.
The leader will partner with business and technology business customers to improve data accessibility, strengthen governance, and position data as a strategic asset.
Location: Hybrid role based in Newport News, VA (3 days in office / 2 days remote). Relocation assistance available for qualified candidates.
Duties and Responsibilities:
Lead, coach, and develop managers and technical teams across analytics, reporting, and data platform functions.
Set clear priorities, goals, and performance expectations aligned to business outcomes.
Build strong cross-functional partnerships with business and technology leaders.
Lead delivery and support of enterprise analytics, business intelligence, reporting, and data platform solutions.
Drive analytics roadmaps, modernization initiatives, and scalable platform capabilities.
Ensure solutions are secure, reliable, well-governed, and aligned with enterprise architecture standards.
Establish best practices for data management, analytics delivery, reporting, and operational support.
Qualifications and Requirements:
Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related field, or equivalent work experience.
8+ years of experience in analytics, business intelligence, data engineering, enterprise data platforms, or related technology disciplines.
3+ years of leadership experience managing managers, technical teams, or cross-functional organizations.
Demonstrated success delivering enterprise-scale analytics, reporting, and data platform solutions.
Ability to build strong business partnerships, influence stakeholders, and lead sophisticated initiatives in a fast-paced environment.
Good communication, organization, and leadership skills.
Solid experience with Databricks, including data engineering, analytics, orchestration, and platform management.
Experience with Microsoft analytics and data technologies, including Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Power BI, Synapse Analytics, and Azure AI services.
Good understanding of data warehousing, data lakes, semantic modeling, and modern analytics architectures.
Experience with enterprise reporting, self-service analytics, and cloud-based analytics platforms.
Knowledge of data governance, data quality, security, compliance, and master data management practices.
Preferred Qualifications:
Experience leading enterprise analytics and data modernization initiatives.
Experience with artificial intelligence, machine learning, or Generative AI solutions.
Experience developing managers and high-performing technical teams.
Experience driving adoption of self-service analytics and data-driven decision making.
Experience managing technology budgets, vendor relationships, and platform investments.
At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more!
Pay Range: $9,458.97 - $16,551.03 -
Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles.
This role is Bonus or Incentive Plan eligible.
Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements.
The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability.
Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity.
Equal Employment Opportunity and Reasonable Accommodation Information
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