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Program Manager Data Analytics Jobs in Frisco, TX

Position Summary The Manager, AI and Data Analytics leads the strategy, design, and delivery of enterprise analytics and AI capabilities that enable data-driven and AI-augmented decision-making ...

Manager - Data Science

Irving, TX · On-site

$100 - $130/hr

## Manager - Data ScienceApplylocations: Irving-Irving Corporate Office-3939 West John Carpenter ... Clear communication of complex analyses and the ability to tell a story with data are critical to ...

What We Do and Who We Serve We offer Tax, Audit, Advisory, and Business Management services to our ... About the Role The Senior Data & Analytics Specialist is responsible for designing, building, and ...

What We Do and Who We Serve We offer Tax, Audit, Advisory, and Business Management services to our ... About the Role The Senior Data & Analytics Specialist is responsible for designing, building, and ...

... AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the ... Program Manager (Mortgage) | About You As a Program Manager (Mortgage), you will lead complex ...

Senior Program Manager

Plano, TX · On-site

$111K - $111K/yr

We work closely with automotive and manufacturing clients across data, AI/ML, analytics, enterprise applications, and digital operations. We are hiring a seasoned, hands-on Program Manager to lead a ...

Showing results 41-60

Program Manager Data Analytics information

See Frisco, TX salary details

$36K

$100.6K

$146.9K

How much do program manager data analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for program manager data analytics in Frisco, TX is $100,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $124,000.00 per year, depending on experience, location, and employer.

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.

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.

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 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.

What are popular job titles related to Program Manager Data Analytics jobs in Frisco, TX?

For Program Manager Data Analytics jobs in Frisco, TX, the most frequently searched job titles are:

What job categories do people searching Program Manager Data Analytics jobs in Frisco, TX look for?

The top searched job categories for Program Manager Data Analytics jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Program Manager Data Analytics jobs?

Cities near Frisco, TX with the most Program Manager Data Analytics job openings:

Infographic showing various Program Manager Data Analytics job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $100,576 per year, or $48.4 per hour.

Manager, AI and Data Analytics

BBB

Dallas, TX • On-site

Full-time

Re-posted 19 days ago


Job description

Position Summary

The Manager, AI and Data Analytics leads the strategy, design, and delivery of enterprise analytics and AI capabilities that enable data-driven and AI-augmented decision-making across the organization. This role is accountable for building and maturing analytics and AI platforms, managing and developing high-performing data teams, and partnering closely with business leaders to translate strategic objectives into scalable analytics and AI solutions.

The position plays a critical role in advancing business intelligence, operational reporting, and advanced analytics by ensuring data is trusted, accessible, and actionable. This role champions best practices in data architecture, governance, and visualization while driving continuous improvement and innovation across analytics services.

Recognizing that trusted data is the foundation for effective AI, this role also leads the responsible adoption of AI capabilities, including predictive machine learning, forecasting, and AI features embedded in modern BI platforms to generate insight, accelerate decision-making, and deliver measurable business value. This role balances strategic direction with technical fluency, guiding the team through model selection, deployment, and ongoing performance monitoring while ensuring AI solutions are explainable, ethical, and aligned with enterprise governance standards.
 

Responsibilities 

  • Lead & Develop Talent: Manage, coach, and grow a high-performing team of data analysts, data engineers, and BI professionals. Establish clear goals, drive accountability, and build long-term team capability 

  • Own the Analytics & AI Strategy: Define and execute a roadmap aligned to business priorities-balancing immediate reporting needs with long-term platform scalability and maturity 

  • Drive Business Impact: Partner directly with cross-functional leaders to identify opportunities where analytics and AI can improve performance, reduce cost, and enable strategic decision-making 

  • Deliver Scalable Solutions: Oversee the end-to-end design and delivery of analytics platforms, dashboards, data models, and reporting solutions that are secure, high-performing, and user-friendly 

  • Improve Data Quality & Accessibility: Lead data integration efforts across multiple sources, establish data quality standards, and resolve root-cause data issues to ensure trusted, reliable insights 

  • Champion Data Governance: Enforce enterprise data governance, privacy, and security standards while ensuring compliance with regulatory and audit requirements 

  • Operationalize Excellence: Own platform performance, monitoring, and support models-driving continuous improvement through automation, performance metrics, and user feedback 

  • Manage Projects & Portfolio: Oversee multiple concurrent initiatives, managing scope, timelines, resources, risks, and stakeholder communication to ensure on-time, high-quality delivery 

  • Advance AI Capabilities: Lead the development and deployment of predictive models and forecasting solutions; drive adoption of AI-powered features within BI tools (e.g., Copilot, automated insights) 

  • Establish AI Best Practices: Implement standards for model lifecycle management (build, validate, deploy, monitor, retrain) while ensuring solutions are explainable, ethical, and aligned with governance standards 

  • Drive Innovation: Stay ahead of emerging trends in analytics and AI, evaluate new technologies, and continuously improve tools, processes, and delivery capabilities

Minimum Qualification 

  • Bachelor's degree in information systems, Computer Science, Data Science, Business Analytics, or related field.
  • 7+ years of experience in data analytics, data engineering, or business intelligence, including leadership or supervisory experience.
  • Proven track record implementing and managing enterprise analytics platforms, data warehouses, and advanced analytics solutions.
  • Hands-on experience with analytics and BI tools (e.g., Power BI, Tableau, Qlik, OBIEE), SQL, and modern data platforms (e.g., Snowflake, Databricks, Azure, AWS, or GCP).
  • Experience with data governance, MDM, and enterprise data management frameworks.
  • Demonstrated experience leading or delivering AI and machine learning initiatives, including predictive models, forecasting, or AI features embedded in BI platforms, with working knowledge of model lifecycle management and responsible-AI practices.
  • Strong project management and communication skills for both technical and executive audiences.
  • Master's degree (MBA, MIS, or related).
  • Familiarity with ITIL, TOGAF, or other enterprise architecture and service management frameworks. 

About Us:

For over 35 years, TERREPOWER (formerly BBB Industries) has been a leader in sustainable manufacturing, driving the circular economy by extending the life of essential products in the automotive and industrial markets.

Founded in 1987 in Daphne, Alabama by the Bigler family, TERREPOWER began as a small regional remanufacturer of starters and alternators. Our commitment to quality and innovation quickly earned us a reputation as a trusted name in the automotive industry.

Recognizing new challenges and opportunities, in 2019 we set our sights on EV battery upcycling-addressing one of the industry's most pressing issues. Our engineering team pioneered solutions to extend EV battery life, pushing the boundaries of sustainable innovation.

Recognizing that demand for solar panels would exceed availability and 100,000 tons of waste would potentially go into landfills by 2035, our team searched for an innovative way to upcycle solar panels. With an eye on the future, we developed ways to upcycle solar panels.

Rooted in family and community values, we're proud to have second-generation employees contributing to our legacy. Backed by Clearlake Capital, we've expanded our footprint into Europe with facilities in Spain, Italy, Denmark, Germany and Poland. We now sustainably manufacture and supply an assortment of nondiscretionary repair parts across more than 90 countries. 

As we move forward under the TERREPOWER name, we remain committed to the same values that have always defined us: entrepreneurship, teamwork, customer-centered, sustainability, safety.

Why Join Us?

When you join our team, you become part of a company that is redefining how essential products are made, reused and repurposed to reduce waste and maximize resources.

Here's what sets us apart:

  • Purpose-Driven Work - Every day, your work will contribute to extending the useful life of essential products, keeping vehicles on the road and critical systems running.
  • Innovative Mindset - We encourage creative problem-solving and bold ideas to push the boundaries of what is possible.
  • Global Reach, Local Impact - With operations in North America and Europe, we have a global presence but remain deeply connected to the communities we serve.
  • Growth & Development - Whether you're on the production floor, in engineering, or part of our corporate team, we invest in your success through training, mentorship, and career advancement opportunities.
  • A Culture of Collaboration - Rooted in teamwork and shared values, our employees work together to tackle challenges and drive meaningful change.

 TERREPOWER is an Equal Opportunity Employer. We are committed to fostering an inclusive, diverse, and equitable workplace. We welcome applicants of all backgrounds and do not discriminate on the basis of race, color, sex, pregnancy, age, veteran status, religion, national origin, genetic information, disability unrelated to the ability to perform a job, sexual orientation, or transgender status to the extent protected by law. We believe that diversity drives innovation and success.