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Program Manager Data Analytics Jobs in Alabama (NOW HIRING)

Sr. Program Manager, EPC

Birmingham, AL · On-site

$108K - $109K/yr

#jobalert | DIRECT HIRE | Sr. Program Manager | EPC | Birmingham, AL A Southeast-based construction ... Bachelor's degree in Architecture, Engineering, Construction Management, Data Analytics, or related ...

Sr. Program Manager, EPC

Birmingham, AL · On-site

$108K - $109K/yr

#jobalert | DIRECT HIRE | Sr. Program Manager | EPC | Birmingham, AL A Southeast-based construction ... Bachelor's degree in Architecture, Engineering, Construction Management, Data Analytics, or related ...

Sr. Program Manager, EPC

Birmingham, AL

$108K - $109K/yr

#jobalert | DIRECT HIRE | Sr. Program Manager | EPC | Birmingham, AL A Southeast-based construction ... Bachelor's degree in Architecture, Engineering, Construction Management, Data Analytics, or related ...

Data Analytics Lead Company: The Boeing Company Boeing Enterprise Classified Security is seeking a ... Experience supporting enterprise portfolio management, program management, or PMO functions

Data Analytics Lead Company: The Boeing Company Boeing Enterprise Classified Security is seeking a ... Experience supporting enterprise portfolio management, program management, or PMO functions

... data analytics requirements and personnel • Liaison with key Government and corporate personnel • Organize daily activities • Devise new programs/goals that support the customer's objectives ...

New

Data Analytics Analyst 3 Location: Birmingham, AL ( HYBRID) Contract- 3 Years Client- Alabama Power ... Partner with project managers, engineers, and finance teams to provide data-driven recommendations.

The Program Manager provides overall leadership and management for a complex federal information technology program, delivering agile software sustainment, cloud management, data analytics ...

Job Requirements Position Overview Under the guidance of the Program Manager, the Data Engineer/Data Analyst supports data engineering, analytics, reporting, and decision-support initiatives in a ...

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Program Manager Data Analytics information

What is the difference between Program Manager Data Analytics vs Data Analyst?

AspectProgram Manager Data AnalyticsData Analyst
CredentialsBachelor's or Master's in Business, Data Science, or related fields; certifications like PMP or CAPM beneficialBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate helpful
Work EnvironmentOversees multiple projects, collaborates with cross-functional teams, manages stakeholdersAnalyzes data sets, creates reports, supports decision-making within teams
Industry UsageCommon in tech, finance, healthcare, and large organizationsWidely used across industries for data interpretation and reporting

The Program Manager Data Analytics focuses on managing multiple analytics projects and coordinating teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills, but the Program Manager has broader responsibilities in project oversight and stakeholder management.

Is 40 too late for data science?

For a Program Manager in Data Analytics, starting a career in data science at age 40 is feasible, as many skills such as statistical analysis, programming, and data visualization can be learned at any age. Experience in related fields and continuous learning through certifications or courses can enhance job prospects regardless of age.

Is AI replacing data analysts?

Program managers in data analytics oversee projects that often involve AI tools, but AI is not replacing data analysts; instead, it automates routine tasks, allowing analysts to focus on complex analysis and strategic insights. Data analysts' skills in interpreting data, storytelling, and domain knowledge remain essential, and proficiency with AI and machine learning tools enhances their effectiveness.

How does a Program Manager in Data Analytics typically collaborate with cross-functional teams?

As a Program Manager in Data Analytics, you will frequently work with data engineers, analysts, business stakeholders, and IT teams to drive analytics initiatives from conception to completion. This collaboration involves translating business objectives into technical requirements, ensuring clear communication between teams, and managing timelines and deliverables. Regular meetings, stakeholder updates, and agile project management practices are commonly used to keep everyone aligned and to adapt quickly to changing priorities. Building strong relationships across departments is essential for successfully delivering data-driven solutions.

Do program managers need data analytics skills?

Program managers in data analytics roles typically need skills in data analysis, visualization tools, and understanding of data-driven decision-making. These skills help them oversee projects that involve large datasets and ensure strategic goals are met efficiently.

What are the key skills and qualifications needed to thrive as a Program Manager in Data Analytics, and why are they important?

To thrive as a Program Manager in Data Analytics, you need strong project management skills, deep analytical expertise, and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Familiarity with analytics platforms (such as Tableau or Power BI), programming languages (like SQL or Python), and certifications like PMP or Agile are highly valuable. Exceptional communication, leadership, and stakeholder management skills help in aligning teams and translating complex data insights into actionable business strategies. These capabilities ensure successful delivery of analytics initiatives that drive informed decision-making and organizational growth.

What is a Program Manager in Data Analytics?

A Program Manager in Data Analytics is responsible for overseeing and coordinating multiple data analytics projects or initiatives within an organization. They work closely with data analysts, data scientists, and other stakeholders to ensure that data-driven projects align with business objectives, are delivered on time, and produce actionable insights. Their role includes strategic planning, resource allocation, risk management, and communication between technical teams and business leaders. Program Managers help bridge the gap between technical execution and organizational goals, ensuring that data analytics initiatives deliver measurable value.

Who earns more, a project manager or a data analyst?

A project manager typically earns more than a data analyst due to greater responsibilities, leadership requirements, and often higher levels of experience and certification. Project managers usually oversee entire projects, budgets, and teams, which contributes to higher compensation compared to data analysts who focus on data interpretation and reporting.
What are popular job titles related to Program Manager Data Analytics jobs in Alabama? For Program Manager Data Analytics jobs in Alabama, the most frequently searched job titles are:
What cities in Alabama are hiring for Program Manager Data Analytics jobs? Cities in Alabama with the most Program Manager Data Analytics job openings:
Infographic showing various Program Manager Data Analytics job openings in Alabama as of June 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution.

Senior Manager, Data Analytics

Holley Performance

Opelika, AL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

About Holley Performance Brands 

Holley Performance Brands is the powerhouse behind some of the most iconic names in automotive performance. For over a century, we’ve fueled the passion of car and truck enthusiasts with innovative products, legendary brands, and a commitment to performance. From the racetrack to the street, we’re driven by a shared love for speed, power, and pushing what’s possible — and we’re building the next generation of digital experiences to match that same energy.

About The Team

At Holley Performance Brands, our Customer Experience Center of Excellence team is shaping the future of Holley’s 360° digital retail experience. We help customers connect with the right products across Holley’s brands, stores, distributors, and partners. Our goal is simple — create personalized, data-driven experiences that build lasting relationships between brands and their customers.

About The Role

We are looking for an analytically rigorous and commercially minded Senior Manager of Data Analytics to lead the measurement, reporting, and insight generation across our direct-to-consumer channels and business divisions. This is a senior individual contributor and team leadership role that sits at the center of how our automotive DTC business understands its performance — translating complex, multi-source data into clear strategic recommendations that drive smarter decisions across marketing, sales, operations, and divisional leadership.

This role requires someone who understands the unique data challenges of an automotive DTC environment — longer purchase cycles, multi-touch customer journeys, high-consideration buying behavior, and the complexity of managing performance across distinct product lines or regional divisions — and who can build the analytical infrastructure needed to make sense of it all.

The Senior Manager will report to the Director of eCommerce (or CXM leadership) and play a pivotal role in elevating data as a core driver of Holley’s digital transformation and revenue growth.

Key Responsibilities

  • Analytics Strategy & RoadmapDefine and own the analytics strategy for all DTC channels — including owned digital (website, configurator, online sales), paid media, CRM, and retail or field touchpoints — ensuring a consistent and reliable measurement framework across all of them. Build andmaintaina divisional analytics model that allows leadership to understand performance at both the enterprise level and within individual product lines, regions, or business units. Develop a rolling analytics roadmap that prioritizes the questions the business most needs answered and builds toward greater predictive and prescriptive capability over time.
  • Channel AnalyticsOwn performance measurement across all DTC channels — digital marketing, paid search and social,emailand CRM, organic, and direct sales — providing a clear and unified view of how each channel contributes to pipeline, leads, and sales. Build attribution models that reflect the complexity of the automotive purchase journey, where customers may interact across 10–20 touchpoints over weeks or months before converting. Analyze channel efficiency and cost-per-acquisitionat a granular level,identifyingwhere spend is generating return and where it is not. Partner with the paid media and performance marketing teams to develop a test-and-learn measurement framework, ensuring experiments are properly structured and results are statistically valid. Monitor and report on digital funnel performance — from awareness and traffic through to configurator engagement, lead submission, and closed sales —identifyingdrop-off points and conversion opportunities.
  • Divisional AnalyticsDevelop divisional scorecards and reporting cadences that give each business unit or product line leadership team a clear view of their performance across revenue, customer acquisition, retention, and channel contribution.Identifyperformance variances across divisions, surfacing the drivers behind differences in customer behavior, conversion rates, or channel mix. Support divisional planning cycles with data-driven forecasts, scenario models, and market sizing analyses. Build competitive intelligence frameworks that track how each division is performingrelativeto market trends and competitor positioning in the DTC automotive space.
  • Ah hoc development of data tables and reports in BI
  • Data Infrastructure & GovernanceDefine data governance standards for channel and divisional reporting, including metric definitions, data ownership, and refresh cadences.
  • Insight Generation & StorytellingDevelop a regular insight communication rhythm — weekly performance snapshots, monthly deep dives, and quarterly strategic reviews — tailored to the needs of different audiences. Proactively surface opportunities and risks that the business may not be actively looking for, acting as an analytical conscience for the organization. Build self-service reporting capabilities that empower channel and divisional teams to answer their own day-to-day questions without always needing to come to the analytics team.
  • Team LeadershipManage CXM Data Analyst(s), setting clearobjectivesand creating an environment focused on rigor, curiosity, and commercial impact. Build team processes and ways of working that allow the analyticsfunction to scalealongside the business. Foster strong relationships with stakeholders across marketing, sales, product, finance, and divisional leadership, positioning analytics as a genuine strategic partner rather than a reporting function.

Qualifications

Education: Bachelor’s degree in business, Marketing, Information Technology, Psychology, or a related field. 

Experience:

  • Minimum 5 years in eCommerce, product management, or a related field, with at least 3 in a hands-on operational role managing DTC or retail eCommerce channels.
  • Proven experience acting as a liaison between business and technical teams to deliver successful digital product outcomes.
  • Experience working within an Agile framework, contributing to collaborative story writing and cross-functional sprint planning.

Skills:

  • Strong understanding of eCommerce platforms (e.g.,Shopify, BigCommerce)and retail best practices.
  • Proficiencyin product management tools (e.g., Jira, Confluence) and data-driven decision-making.
  • Excellent communication and collaboration skills across business and technical stakeholders.
  • Confident decision-making ability, with a balance of independence and teamwork.
  • Demonstrated adaptability to changing processes, priorities, and organizational structures.
  • Ability toidentifyopportunities for efficiency and process improvement.

Preferred Skills:

  • Experience with automotive aftermarket products or related industries.
  • Familiarity with UX/UI design principles and customer journey optimization.
  • Knowledge of emerging trends in eCommerce and digital retail.

Why Join Us

  • Opportunity to shape Holley’s DTC eCommerce channel during an exciting period of digital transformation.
  • Collaborate with a passionate, innovative team of professionals dedicated to customer-focused growth.
  • Competitive salary and benefits package.
  • Contribute to the success of Holley Performance Brands, a leader in the performance aftermarket industry.
  • Work in an environment that values collaboration, adaptability, and hands-on execution.

Why Holley Is a Great Place to Work

At Holley, we’re more than a performance parts company—we’re a community of enthusiasts, innovators, and problem-solvers. We offer a competitive benefits package and a culture that values both performance and people.

Benefits:

  • Competitive medical, dental, and vision coveragestarting day one.
  • 401(k) with company match
  • Paid time off and9paid holidays
  • Employee Assistance Program (EAP)
  • Company-paid life andshort-termdisability insurance
  • Employee discounts on Holley Performance Brands products, events,and partnerships
  • Education Assistance program

Holley is an Equal Opportunity Employer committed to building a diverse and inclusive workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, disability, or any other legally protected status.