Manager, Analytics & BI Product

HITT Contracting Inc.•Washington, DC

4d•$100,000 - $150,000

About The Position

HITT Contracting is seeking a Manager of Analytics & BI Product to lead the team that builds, maintains, and continuously improves HITT’s business intelligence and data products and platforms—spanning enterprise BI and reporting (Power BI and comparable tools), the curated Gold layer and governed semantic layer (dimensional models, KPIs/metrics), MDM and data stewardship, and predictive capabilities embedded in BI products. This is a hands-on leadership role for a product-minded builder: someone who is happiest close to the work—shaping backlogs, pressure-testing the product portfolio and demand signals, clearing blockers, and helping a small BI team ship. As a player-coach, this leader will personally build and maintain BI products of their own, such as dashboards, semantic models, and stewardship workflows, alongside the team. The specific platforms, data domains, and assets in scope will evolve over time; the mandate will not: deliver trusted, well-governed BI products and capabilities that elevate the business of building. Reporting to the Director of Product, this person manages HITT’s Analytics & BI pod—a small, lean team—and is accountable for what the pod delivers. This leader owns the Analytics & BI product portfolio and roadmap end to end: partnering with Finance, HR, Marketing, Operations, IT, other departments and business unit leaders to identify the highest-value problems, translate them into clear product opportunities, sequence the backlog, and drive delivery through rapid, iterative cycles. Because HITT builds products and software for builders, everything this role ships must earn adoption in high-velocity, decentralized field environments—on jobsites, in trailers, and in offices—across a diverse range of user personas. The specific tools, data domains, assets, stewardship processes, and survivorship rules will evolve, but the charge is durable: keep the pod focused on what matters most, keep the data trustworthy, keep it shipping, continuously raise the standard, and build high-value analytics and BI capabilities for the enterprise.

Requirements

Bachelor’s degree in Information Management, Computer Science, Data Analytics, Business, or a related field; advanced degree a plus
5+ years in BI product management, product delivery, analytics/BI leadership, or a closely related technical/product role.
2+ years of hands-on experience building or maintaining enterprise BI products, with meaningful depth in areas such as Power BI, dimensional modeling/semantic layers, MDM, or data stewardship.
2+ years of experience managing a team, pod, or significant cross-functional workstream.
Demonstrated ability to personally build and maintain production Analytics & BI products, including Power BI dashboards, Gold-layer dimensional models/star schemas, governed semantic layers, and MDM/data stewardship workflows.
Experience owning a product portfolio or roadmap, translating business problems into product opportunities and requirements, prioritizing backlogs based on business value and evidence, and leading iterative & agile delivery through production releases.
Strong working knowledge of enterprise BI, dimensional modeling, semantic layers, KPIs/metrics, MDM, and data stewardship, with the technical fluency to make sound product and architecture tradeoffs.
Experience leading a small team or cross-functional workstream while remaining hands-on in the product; able to shape the work, remove blockers, review what ships, and raise the team's product and technical standard.
Strong communicator who can work across business and technical stakeholders, from field users and functional leaders to executives, and who treats adoption, feedback, and measurable business value as product outcomes.

Responsibilities

Own the Analytics & BI roadmap across Power BI, the Gold/Semantic Layer, MDM, and Data Stewardship, prioritizing investments based on business value, adoption, and potential impact.
Lead iterative backlog and business pain-point discovery with Finance, Marketing, HR, Operations, and other business partners to identify the highest-value problems; translate them into clear requirements, prioritized backlogs, and well-sequenced releases.
Partner with other product principals and Engineering leadership within EBS to translate upstream needs—including new data sources, Bronze/Silver layer changes, and pipeline reliability—into roadmap priorities, product requirements, and coordinated delivery.
Personally build and maintain BI dashboards, Gold-layer dimensional models and star schemas, and the governed semantic layer (KPIs and metrics)—this role ships product, not just backlogs.
Define, configure, monitor, and extend MDM and data stewardship workflows, including golden-record rules, match/merge logic, and data quality checks.
Run the pod hands-on—shape backlogs, clear blockers, review releases, and maintain delivery momentum.
Embed lightweight predictive capabilities into BI products—such as trend forecasts and anomaly flags—where they create clear business value, without standing up a full ML platform.
Build and develop a high-performing, product-minded pod with strong product judgment, technical fluency, and AI-enabled ways of working; raise the bar on how the team discovers, builds, and ships.
Own adoption as a product outcome, building strong relationships with field and business partners and using enablement, feedback loops, and usage analytics to drive sustained usage and value.
Communicate roadmap, tradeoffs, progress, and outcomes clearly across the organization, leveraging BI pod demos as a primary forum to showcase what is shipping, gather feedback, connect user needs to product decisions, and align the work to broader business priorities.