Manager, Product Management

Position Manager, Product Management Location Dallas, TX (telecommuting options available) Responsibilities Act as the key liaison between business stakeholders and technical teams to ensure alignment of product features with strategic objectives and customer needs. Collaborate with leadership to validate that proposed features deliver measurable business value while maintaining high standards for quality, scalability, and readiness. Lead structured requirements gathering through meetings, workshops, and documentation reviews. Translate business needs into actionable, technically feasible product concepts, authoring functional specifications, user stories, and acceptance criteria. Develop prototypes, use cases, and design data visualizations to support usability testing and performance communication. Apply analytics, modeling, and optimization to inform decisions and improve product outcomes. Drive Agile product delivery by collaborating with engineering, data science, and implementation teams on release plans, backlog prioritization, and sprint execution. Own the product roadmap and ensure timely, iterative feature delivery through stakeholder engagement and performance‑driven enhancements. Design and execute test plans to validate workflows and analytical models, ensuring robustness across business scenarios. Coordinate issue resolution, define automated testing protocols, and manage regression testing. Package final solutions with training content, release notes, and technical documentation. Conduct product demos, workshops, and training to support adoption and ensure long‑term success. Promote continuous innovation by monitoring market trends, user behavior, and product performance. Champion data‑driven decision‑making and foster cross‑functional collaboration to evolve the product and exceed expectations. Serve as a subject‑matter expert throughout the product lifecycle, driving sustainable value and customer satisfaction. Qualifications Master’s degree, or foreign equivalent, in Industrial Engineering, Operations Research, or Engineering Management. Experience, coursework, or project experience in utilizing machine learning, optimization algorithms, statistics, and large‑scale system modeling. Proficiency with Python (NumPy, scikit‑learn, LightGBM), SQL for data manipulation and performance tuning, and experience with Spark, Databricks, and scalable data processing frameworks. Familiarity with large language models (LLMs) and deep learning frameworks such as PyTorch or TensorFlow. Ability to design and manage machine learning pipelines, including feature engineering, model tuning, and validation. Strong analytical, statistical, and data visualization skills using Power BI or Tableau. 20% domestic travel required. Equal‑Opportunity Statement o9 is an equal‑opportunity employer that values diversity and inclusion. We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process. #J-18808-Ljbffr