Data Product Manager

Job Title: Data Product Manager

Location: Arnold AFB, TN

Job Family Code: Q – Program Management & Operations (tech)

Function/Branch: MIS/Data Team

Directorate: MIS

Position Type:Regular, Full-Time

Pay Type: Exempt

Sponsorship: Position Not Sponsored

Grade: L10 (QA1005)/L11 (QA1103)

Salary Range or Starting Hourly Rate
: L10: $146,500 - $179,000; L11: $160,000 - $213,000/ per year

BNH is seeking a strategic, business-oriented Data Product Manager to lead our enterprise data transformation and define the roadmap for BNH’s data products supporting the TOS II contract at Arnold Air Force Base. In this hands-on leadership role, you will treat enterprise data as a core product, bridging the gap between technical teams (data engineering, analytics, business intelligence) and key business stakeholders (aerospace test operations, finance, and compliance).

You will define product vision, manage the data product backlog, and lead the technical team in delivering secure, self-service data capabilities that support aerospace testing throughput.

As a key member of the senior leadership team, the Data Product Manager will define and execute the organization’s data strategy, ensuring that data becomes a core driver of business performance, innovation, and competitive advantage. This is a hands-on leadership role that balances strategic vision with operational excellence

Open to internal & external candidates.

The successful candidate will be a strategic, business-oriented data leader responsible for defining the enterprise data product vision, establishing the long-term product roadmap, managing and prioritizing the feature backlog, and optimizing resource investments to ensure BNH’s data assets deliver measurable business value and directly support the modernization goals of the TOS II contract.

• Strategic leadership: Define and continuously evolve the enterprise data strategy aligned with business objectives;
  Establish KPIs that directly link data initiatives to business outcomes (revenue growth, churn reduction, cost savings, etc.);
  Act as the primary advocate for data initiatives at the executive level.
• Team Leadership: Build, lead, and scale a high-performing Data team (Data Engineering, Analytics, Data Science, Governance);
  Foster a culture of innovation, continuous learning, and technical excellence;
  Set priorities and make final decisions on project resourcing
• Cross-Functional Team Coordination: Lead and act as a bridge between cross-functional teams of data engineers, data scientists, analysts, and business leaders to ensure alignment and unblock technical progress.
• Product Roadmap & Delivery: Define product-level Objectives and Key Results (OKRs) and establish product success criteria; manage the data product lifecycle from concept through launch, user adoption, and continuous iteration. Maximize team velocity and resource allocation using Agile product management tools, shifting focus from "delivering on time" to "delivering high-value, high-adoption features.
• Requirement Translation: Convert high-level business goals into clear, actionable technical requirements for the data team.
• Test Operations Modernization
  :
  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, directly supporting the contract's goal to double testing throughput.
• Data Governance and Quality Management: Oversee enterprise data governance, data quality, master data management, and data security;
  Ensure data collection, storage, and sharing comply with internal data governance standards, security policies and compliance with…