Program Manager, Data Science

INPO External • Atlanta, GA

3d

About The Position

This role is responsible for advancing the organization’s use of Generative AI and analytics to transform complex operational and plant performance data into actionable intelligence. The position drives the development of secure, scalable, and ethically sound AI-enabled solutions that enhance decision-making, improve insight delivery, and support strategic business outcomes. By bridging generative AI methodologies with practical analytics applications, the role enables cross-functional teams to leverage data more effectively through automated insights, robust data pipelines, and intuitive visualizations.

Requirements

• Deep knowledge of Generative AI, natural language processing (NLP), and Retrieval‑Augmented Generation (RAG), including similarity methods, embeddings, vector databases (e.g., FAISS), and prompt/model optimization techniques
• Strong proficiency in software and analytics development using Python, R, SQL, Power BI, and related tools, with solid software engineering practices (testing, modular design, code reviews, and version control using Git)
• Hands-on experience fine‑tuning and adapting large language models using transfer learning across transformer architectures
• Knowledge of data science and analytics techniques, including statistical analysis, optimization, simulation, and supervised/unsupervised machine learning, with advanced ability to analyze complex data and trends to inform business decisions
• Experience designing, deploying, and maintaining production‑grade AI/ML solutions, including APIs (e.g., FastAPI), MLOps pipelines, CI/CD, monitoring, and evaluation frameworks
• Knowledge of data governance, schema validation, and automated data quality monitoring to ensure secure, reliable, and compliant AI and analytics solutions
• Ability to balance model performance with infrastructure constraints, including latency, throughput, cost, and scalability considerations
• Demonstrates extensive knowledge of data science, leading initiatives, mentoring team members, and driving innovation and strategic improvements within the organization
• Ability to convey complex ideas and project strategies in a clear and compelling manner to stakeholders, project teams and senior leadership
• Ability to lead diverse teams to achieve common goals, while mentoring team members
• Demonstrates advanced planning, organizational, and time management skills, leading multiple projects within the program, guiding all stakeholders, and driving strategic initiatives to achieve organizational goals
• Exemplifies a strong ability to seek out and learn from feedback, coaching, and new experiences. Proactively adapts to new challenges and leverages learnings to drive innovation and mentor others
• Ability to foster collaboration across different departments or teams to harness collective creativity and drive innovation. Strong communication skills to effectively convey ideas and facilitate discussions. Demonstrated impact in cross-functional projects, ensuring alignment and synergy among diverse teams
• Advanced ability to work and maintain confidentiality of highly sensitive/private information
• High School Diploma or GED
• Five or more years of professional work experience
• Three or more years of experience in data science, data analytics, business analytics, or machine learning
• Must be able to work prolonged periods of sitting at a desk and working on a computer
• Must be able to work under minimal supervision
• Must be able to sit, stand, walk, stoop, kneel, crouch, climb, and crawl
• Must be able to lift 25 pounds
• Must have a US state or territory issued Real ID compliant driver’s license or identification card
• All INPO employees are expected to abide by behavioral expectations as outlined in INPO’s Core Values, Team Effectiveness Attributes, and Leadership Effectiveness Attributes
• Employment is dependent upon successfully completing a pre-employment background check and drug and alcohol test
• This position may require obtaining unescorted access status
• This position requires direct or indirect access to certain export-controlled technology, for which INPO may be required to obtain an export license in accordance with applicable U.S. export control laws and regulations. If an export license is required, any offer of employment at INPO for this position is contingent upon receipt of the export license or authorization

Nice To Haves

• Master's degree in a relevant specialty area with an emphasis in analysis techniques, such as statistics, mathematics, data analytics, data science, or business analytics
• Two or more years' experience as an analyst
• Two or more years as a project manager

Responsibilities

• Integrates Generative AI (Gen AI) capabilities into analytics workflows to automate text summarization, report generation, and predictive insights that support business objectives
• Designs and implements prompt engineering strategies to improve model accuracy, relevance, and efficiency
• Applies advanced techniques such as Retrieval-Augmented Generation (RAG) to combine structured data with generative models for enhanced contextual accuracy
• Collaborates with cross-functional teams to identify and prioritize high-value Gen AI use cases aligned with organizational goals
• Monitors, validates, and optimizes Gen AI solutions for performance, scalability, and compliance with security and ethical standards
• Develops and maintains AI-enabled applications, data pipelines, and analytical methods to ingest, process, and analyze structured and unstructured plant performance data, enabling automated insight generation and decision support
• Ensures security and confidentiality of sensitive federally regulated plant data in all AI and analytics solutions
• Fine-tunes and adapts language models (proprietary and open-weight) and trains supervised/unsupervised ML models on domain-specific corpora to optimize task performance
• Architects and deploys RESTful APIs and ETL/ELT data pipelines to serve AI/ML model inference in production environments
• Implements systematic evaluation frameworks for generative AI outputs including automated hallucination detection, scoring metrics, human-in-the-loop validation, and adversarial testing
• Communicates insights effectively through interactive dashboards and visualizations using Power BI or similar platforms
• Performs other duties as assigned

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: High school or GED