Sr. Manager, Data & Analytics

North Texas Food Bank•Plano, TX

18h

About The Position

PRIMARY PURPOSE: The Senior Manager of Data & Analytics is a strategic leader responsible for ensuring that NTFB’s data, reports, and analytics are accurate, consistent and actionable to support effective decision-making across the organization. This role oversees the BI team, serves as the organization’s expert in food banking business logic, and acts as the critical link between technical BI developers and business stakeholders. The Senior Manager also leads key aspects of NTFB’s Data Governance program, ensuring data quality, change control, and other governance standards are properly adopted and maintained. MINIMUM QUALIFICATIONS: Education: Bachelor's degree in computer science, management/computer information systems, or related field Special Knowledge/Skills/Abilities: Ability to provide consultative analytics guidance that informs strategic decision-making Strong understanding of business processes, KPIs, and performance measurement Demonstrated ability to translate business questions into actionable analytical solutions Strong understanding of data warehousing Hands-on knowledge of the Microsoft BI Stack, including Power BI and SQL Server Strong attention to detail, analytical, and problem-solving skills Self-motivated, organized and capable of setting team priorities and meeting deadlines Experience designing and enforcing BI quality assurance (QA) and validation processes Experience: 6 years leading BI teams, establishing analytics standards, reporting frameworks and data quality practices Experience with BI operating models (intake, prioritization, SLAs, QA, release management) and implementing and operating within a data governance framework Experience with AI-assisted analytics, including predictive and prescriptive machine learning (ML) Experience in food industry consumer-packaged goods or retail food distribution is a plus PRINCIPLE DUTIES AND RESPONSIBILITIES: Manage and mentor BI team members, setting clear expectations, providing coaching, conducting performance reviews, and building a high-performing, business-focused analytics team. Work closely with the VP of Technology & Data Strategy to execute the BI and Analytics roadmap, including defining priorities, sequencing initiatives, creating staffing model, and building long-term analytics capabilities that align with organizational goals. Ensure that analytics outputs are meaningful and contextually relevant for both operational teams and executive leadership. Lead the BI function by establishing standards and processes for intake, prioritization, delivery, QA, and ongoing support of analytics solutions. Serve as a business partner for analytics, ensuring insights are actionable, accurate, and trusted by leadership. Own enterprise reporting and metrics governance, including standard definitions, data quality controls, validation processes, and change management to ensure consistency across all analytics outputs. Oversee the design and evolution of BI architecture, including data models, semantic layers, and reporting platforms, ensuring scalability, performance, and alignment with enterprise data strategy. Provide technical leadership and guidance across SQL Server, ETL processes, and data integration. Establish and enforce quality assurance practices, including peer reviews, validation checkpoints, and executive-level certification of reports and dashboards. Lead issue triage and resolution for complex analytics and data quality issues, balancing urgency, impact, and root-cause remediation while communicating clearly with stakeholders. Drive adoption and enablement of BI solutions, including executive dashboards, self-service analytics, documentation, and data literacy efforts across the organization. Support enterprise initiatives and system changes (e.g., ERP, CRM, operational platforms) by assessing downstream reporting impacts and ensuring continuity and accuracy of analytics. Continuously identify opportunities to improve analytics processes, tools, and governance to increase efficiency, reduce risk, and strengthen confidence in organizational data. Perform other duties as assigned Supervisory Responsibilities: Lead a team of four direct reports, including hiring, training, coaching and developing team members MENTAL DEMANDS: The person in this position needs to adapt well in the face of workplace stressors, such as customer complaints, compliance offenses and competing priorities of reasonable or high significance to the successful function of the unit. Must be able to effectively interpret data and make critical decisions that will have a significant impact on the team and organization. PHYSICAL DEMANDS: While performing the duties of this job, the employee is required to stand; walk; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop; kneel, crouch or crawl; talk or hear. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. The employee must occasionally lift and/or move up to 25 pounds. ENVIRONMENTAL FACTORS: Moderate noise (i.e. business office with open floor plan with computers, phone, and printers, light traffic). The mental and physical demands and work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is not necessarily an exhaustive list of all skills, duties, responsibilities, efforts, requirements or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, NTFB reserves the right to revise the job or to require other or different tasks be performed as assigned. The North Texas Food Bank is an equal opportunity employer .

Requirements

Bachelor's degree in computer science, management/computer information systems, or related field
Ability to provide consultative analytics guidance that informs strategic decision-making
Strong understanding of business processes, KPIs, and performance measurement
Demonstrated ability to translate business questions into actionable analytical solutions
Strong understanding of data warehousing
Hands-on knowledge of the Microsoft BI Stack, including Power BI and SQL Server
Strong attention to detail, analytical, and problem-solving skills
Self-motivated, organized and capable of setting team priorities and meeting deadlines
Experience designing and enforcing BI quality assurance (QA) and validation processes
6 years leading BI teams, establishing analytics standards, reporting frameworks and data quality practices
Experience with BI operating models (intake, prioritization, SLAs, QA, release management) and implementing and operating within a data governance framework
Experience with AI-assisted analytics, including predictive and prescriptive machine learning (ML)

Nice To Haves

Experience in food industry consumer-packaged goods or retail food distribution is a plus

Responsibilities

Manage and mentor BI team members, setting clear expectations, providing coaching, conducting performance reviews, and building a high-performing, business-focused analytics team.
Work closely with the VP of Technology & Data Strategy to execute the BI and Analytics roadmap, including defining priorities, sequencing initiatives, creating staffing model, and building long-term analytics capabilities that align with organizational goals.
Ensure that analytics outputs are meaningful and contextually relevant for both operational teams and executive leadership.
Lead the BI function by establishing standards and processes for intake, prioritization, delivery, QA, and ongoing support of analytics solutions.
Serve as a business partner for analytics, ensuring insights are actionable, accurate, and trusted by leadership.
Own enterprise reporting and metrics governance, including standard definitions, data quality controls, validation processes, and change management to ensure consistency across all analytics outputs.
Oversee the design and evolution of BI architecture, including data models, semantic layers, and reporting platforms, ensuring scalability, performance, and alignment with enterprise data strategy.
Provide technical leadership and guidance across SQL Server, ETL processes, and data integration.
Establish and enforce quality assurance practices, including peer reviews, validation checkpoints, and executive-level certification of reports and dashboards.
Lead issue triage and resolution for complex analytics and data quality issues, balancing urgency, impact, and root-cause remediation while communicating clearly with stakeholders.
Drive adoption and enablement of BI solutions, including executive dashboards, self-service analytics, documentation, and data literacy efforts across the organization.
Support enterprise initiatives and system changes (e.g., ERP, CRM, operational platforms) by assessing downstream reporting impacts and ensuring continuity and accuracy of analytics.
Continuously identify opportunities to improve analytics processes, tools, and governance to increase efficiency, reduce risk, and strengthen confidence in organizational data.
Perform other duties as assigned