Data Product Manager

BNH•San Marcos, TX

1d•$146,500 - $213,000•Onsite

About The Position

BNH is seeking a strategic, business-oriented Data Product Manager to lead enterprise data transformation and define the roadmap for data products supporting the TOS II contract at Arnold Air Force Base. This hands-on leadership role bridges technical teams—including data engineering, analytics, and business intelligence—with business stakeholders in aerospace test operations, finance, and compliance. The role defines product vision, manages the data product backlog, and leads delivery of secure, self-service data capabilities supporting aerospace testing throughput. As a member of the senior leadership team, the Data Product Manager defines and executes the organization’s data strategy so that data drives business performance, innovation, and competitive advantage. The position is responsible for enterprise data product vision, the long-term roadmap, feature prioritization, and resource investment, ensuring data assets provide measurable business value and support TOS II modernization goals. The role leads and develops a high-performing data team; coordinates across technical and business functions; manages product lifecycle and delivery; and translates business goals into technical requirements. It also partners with O&M, instrumentation, and test engineering directorates to modernize legacy data acquisition and telemetry pipelines, building secure and reliable products that support the contract’s goal of doubling testing throughput. The position oversees data governance, quality, master data management, security, and compliance, and communicates progress, risks, and return on investment to leadership. The position is regular, full-time, exempt, and located at Arnold Air Force Base, Tennessee. The selected candidate may occasionally need to work outside normal business hours, such as during application upgrades. U.S. citizenship is required. The candidate must be able to obtain and maintain an active security clearance and authorized user access to the AEDC local area network. BNH does not sponsor applicants for employment authorization or provide immigration-related support for this position.

Requirements

Bachelor’s degree in computer science, data science, software engineering, information systems, business analytics, or operations research; alternatively, a bachelor’s degree in any field plus two additional years of experience in technical data management or product analytics.
Ten years of experience as a product owner, product manager, data scientist, business intelligence professional, data engineer, or data analytics professional.
Ability to obtain and maintain an active security clearance.
Ability to maintain authorized user access to the AEDC local area network.
U.S. citizenship, required for federal contract compliance and access to secure federal databases and networks at Arnold Air Force Base.

Nice To Haves

Understanding of data warehousing, ETL pipelines, database structures, and data modeling.
Experience migrating legacy on-premises systems, such as legacy databases or analog test telemetry, to modern cloud-based data warehouses or unified lakes.
Familiarity with visualization and reporting platforms such as Tableau, Power BI, or Looker.
Working knowledge of machine learning models, big data frameworks, and analytics workflows.
Literacy in foundational languages or tools such as SQL or Python to communicate effectively with technical contributors.
Ability to explain complex technical metrics and machine learning outputs in plain language to non-technical business partners.
Experience running Agile or hybrid project frameworks such as Scrum or Kanban.
Aptitude for troubleshooting data bottlenecks, missing variables, or shifting project requirements.
Skill in balancing competing demands, managing expectations, and building project buy-in across departments.

Responsibilities

Define and evolve enterprise data strategy in alignment with business objectives, establish KPIs tied to business outcomes, and advocate for data initiatives at the executive level.
Build, lead, and scale the Data team across data engineering, analytics, data science, and governance; foster innovation, continuous learning, and technical excellence; and make final decisions on project resourcing.
Coordinate data engineers, data scientists, analysts, and business leaders to ensure alignment and remove barriers to technical progress.
Define product-level Objectives and Key Results and success criteria; manage the data product lifecycle from concept through launch, user adoption, and ongoing iteration.
Manage and prioritize the data product backlog, maximize team velocity and resource allocation, and prioritize high-value, high-adoption features.
Translate high-level business goals into clear, actionable technical requirements for the data team.
Partner with O&M, instrumentation, and test engineering directorates to design and modernize legacy data acquisition and telemetry pipelines.
Build secure, reliable data products that scale testing capacity and support the contract’s goal to double testing throughput.
Oversee enterprise data governance, data quality, master data management, and data security; ensure compliance with internal governance standards, security policies, regulatory requirements, and privacy requirements.
Anticipate and mitigate technical, ethical, or financial hurdles while ensuring data accuracy; champion data architecture and data management best practices.
Define the long-term vision, strategy, and roadmap for data infrastructure, analytics dashboards, and automated reporting systems.
Use Agile frameworks such as Scrum or Kanban to manage data pipelines, address unknowns, and iterate deliverables.
Translate technical progress into plain-language business insights for non-technical stakeholders and keep leadership informed about project health, risks, and ROI.
Perform other duties as required.