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
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.
Skills Required
- 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 (Power BI, Tableau, Qlik, OBIEE), SQL, and modern data platforms (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, and model lifecycle management with 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.
TERREPOWER (formerly BBB Industries) Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about TERREPOWER (formerly BBB Industries) and has not been reviewed or approved by TERREPOWER (formerly BBB Industries).
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Healthcare Strength — Health insurance is described as solid and affordable, with comprehensive medical, dental, and vision coverage. Coverage breadth and cost are portrayed as strengths within the overall package.
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Retirement Support — The 401(k) program is portrayed as competitive, with a meaningful employer match and relatively quick vesting. Retirement benefits appear to be a reliable anchor of the package.
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Leave & Time Off Breadth — Paid time off and company holidays are highlighted, with indications of quick benefits eligibility in some roles. Time‑off provisions come across as solid and supportive of work‑life needs.
TERREPOWER (formerly BBB Industries) Insights
What We Do
TERREPOWER (formerly BBB Industries) is a global leader in sustainable manufacturing, serving the automotive and industrial markets. With operations across North America and Europe, we provide high-quality, sustainably manufactured products that extend the life of critical components, reduce waste, and support a circular economy. Founded in 1987, TERREPOWER has a legacy of innovation and a commitment to delivering value to customers in more than 90 countries. Our corporate offices are located in greater Greater Mobile, Alabama; Dallas, Texas; and Brussels, Belgium.








