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Manager Predictive Analytics Jobs in Dallas, TX (NOW HIRING)

Position Summary The Manager, AI and Data Analytics leads the strategy, design, and delivery of ... Lead the development and deployment of predictive models and forecasting solutions; drive adoption ...

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities

They are seeking a seasoned Product Manager to contribute to the success of their products ... as predictive analytics, personalization models, and automation--to enhance integrations with ...

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities

New

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities

New

They are seeking a seasoned Product Manager to contribute to product success, with a focus on ... as predictive analytics, personalization models, and automation--to enhance integrations with ...

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities

Showing results 41-60

Manager Predictive Analytics information

See Dallas, TX salary details

$63.8K

$124K

$177.1K

How much do manager predictive analytics jobs pay per year?

As of Aug 16, 2026, the average yearly pay for manager predictive analytics in Dallas, TX is $123,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $147,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a manager predictive analytics?

To thrive as a Manager Predictive Analytics, you need a strong background in statistics, data analysis, and predictive modeling, often supported by a degree in mathematics, statistics, computer science, or a related field. Expertise with analytics tools such as Python, R, SQL, and familiarity with machine learning platforms, as well as relevant certifications like SAS or AWS Certified Machine Learning, is typically expected. Outstanding leadership, communication, and problem-solving skills help in leading teams and translating complex insights for stakeholders. These abilities ensure data-driven decision-making, effective project management, and impactful business outcomes.

What are the main challenges faced by a manager predictive analytics, and how can they be addressed?

A Manager of Predictive Analytics often encounters challenges such as ensuring data quality, bridging communication gaps between technical teams and business stakeholders, and keeping up with rapidly evolving analytical tools and techniques. Addressing these challenges requires fostering strong cross-functional collaboration, implementing robust data governance practices, and encouraging continuous learning among team members. Additionally, setting clear project objectives and maintaining alignment with business goals can help deliver actionable insights and maximize the impact of predictive analytics initiatives.

What is the difference between Manager Predictive Analytics vs Data Scientist?

AspectManager Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Analytics, Statistics, or related field; often managerial certificationsBachelor's or Master's in Data Science, Statistics, or related field; sometimes PhDs
Work EnvironmentLeads teams, manages projects, collaborates with business unitsDevelops models, analyzes data, experiments with algorithms
Employer & Industry UsageBusiness, finance, marketing, healthcare organizationsTech companies, research institutions, finance, healthcare

While both roles focus on data analysis, the Manager Predictive Analytics oversees teams and strategic projects, whereas Data Scientists primarily develop models and conduct in-depth data analysis. The manager role emphasizes leadership and project management, often requiring experience in analytics tools and business acumen, while Data Scientists focus on technical expertise in algorithms and programming.

What is a manager predictive analytics?

A Manager Predictive Analytics is a professional responsible for overseeing teams and projects that use statistical techniques, machine learning, and data analysis to forecast future trends and support business decision-making. They manage the development and implementation of predictive models, ensuring data quality and actionable insights for their organization. In addition to technical expertise, they coordinate with stakeholders to align analytics initiatives with business goals and often mentor data analysts or data scientists within their team.

What are the most commonly searched types of Predictive Analytics jobs in Dallas, TX?

The most popular types of Predictive Analytics jobs in Dallas, TX are:

What are popular job titles related to Manager Predictive Analytics jobs in Dallas, TX?

For Manager Predictive Analytics jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Manager Predictive Analytics jobs in Dallas, TX look for?

The top searched job categories for Manager Predictive Analytics jobs in Dallas, TX are:

Infographic showing various Manager Predictive Analytics job openings in Dallas, TX as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $123,977 per year, or $59.6 per hour.

Manager, AI and Data Analytics

BBB

Dallas, TX

Full-time

Re-posted 13 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.