About The Position

We are hiring a Senior Manager, Growth[x] Data & AI Engineering to serve as the senior technical lead for the data and AI foundation that powers Growth[x], an AI-enabled, end-to-end solution that transforms how we identify opportunities, execute our end-to-end growth pipeline, and deliver winning proposals. Growth[x] is built on the Peraton[x] platform and unifies the playbooks, data sources, and tooling the Growth organization today into a single, intelligent workflow — from opportunity capture through proposal submission. This role is responsible for planning, coordinating, and managing the data pipelines, cortexes, integrations, and governance that make Growth[x] trustworthy, secure, and useful at enterprise scale. You will be the connective tissue between the Growth organization, the CIO's data platform, and the Peraton[x] platform team — ensuring that the right data is available, governed, trusted, and accessible for the right AI-driven purposes. This is a hands-on leadership role. You will architect and build alongside the team, not just direct it.

Requirements

  • 12+ years of progressive experience in data/AI, solution architecture, or digital transformation, with 5+ years leading technical teams.
  • Demonstrated ownership of an enterprise AI or analytics platform from architecture through adoption — not just pilots.
  • Strong working knowledge of agentic AI systems: prompt engineering, retrieval / knowledge graphs, evaluation, and productionization patterns.
  • Experience navigating shared infrastructure models — consuming centrally managed data platforms without owning the underlying infrastructure.
  • Prior experience working with or alongside a CIO office or enterprise IT governance function in a consumer/integrator capacity.
  • Strong command of SQL and experience with relational databases (e.g., PostgreSQL, Microsoft SQL Server).
  • Hands-on experience designing and implementing data pipelines using tools such as Apache Airflow, Informatica, Talend, dbt, or equivalent.
  • Experience with AWS and/or Microsoft Azure, including managed data services (e.g., Azure Synapse, ADLS, ADF, BigQuery).
  • Proficiency with Power BI, Alteryx, or equivalent BI tools.
  • Familiarity with data warehousing concepts, dimensional modeling, and data lake / lakehouse architecture.
  • Working knowledge of LLM-based systems — retrieval-augmented generation, knowledge graphs / ontologies, prompt engineering, and evaluation — sufficient to design the data and cortex layer beneath them.
  • Excellent written and verbal communication; able to move between executive stakeholders, CIO-office counterparts, and hands-on engineers.
  • U.S. citizenship
  • Willing to obtain and maintain a TS/SCI security clearance

Nice To Haves

  • Working knowledge of the federal Business Acquisition Process, Shipley-style capture and proposal processes, color teams, and proposal artifacts.
  • Knowledge of the NIST AI Risk Management Framework (AI RMF) and its data-related implications.
  • Relevant certifications: Microsoft Certified: Azure Data Engineer Associate, dbt Certified Developer, CDMP (Certified Data Management Professional), or equivalent.
  • Active TS/SCI security clearance.

Responsibilities

  • Architect the end-to-end technical vision for Growth[x] — how opportunity identification, qualification, capture, color teams, pricing inputs, past performance, solutioning, and proposal development connect into a single AI-enabled workflow on Peraton[x].
  • Design and stand up the knowledge cortexes (ontology, mission briefing, curated content, KG structure) that power Growth[x]. Establish standards for how cortexes are built, versioned, and maintained as source material evolves.
  • Lead integration with the CIO managed and governed systems of record Growth depends on and the Peraton Data Warehouse and with cross-corporate functionally owned SharePoint repositories. Drive the data-quality remediation needed to make AI outputs trustworthy.
  • Translate end-to-end growth process steps into event triggered data packages for the team, intuitive dashboards, and skills and workflows on Peraton[x]. Partner with Growth process owners to redesign workflows around AI rather than bolting AI onto legacy steps. Partner with the Peraton[x] team to ensure Growth operations remain optimized and evolve as the platform evolves.
  • Take the existing library of BAP prompts and playbooks and elevate them into hardened, reusable skills and flows with clear inputs, outputs, and quality gates.
  • Build the training curriculum and enablement collateral (tool-specific and process-specific) that gets capture managers, proposal managers, solution architects, and pricing leads productive on Growth[x].
  • Lead and manage a small, high-leverage team setting technical direction, prioritizing the roadmap, and coaching them into stronger operators.
  • Serve as the senior point of accountability to Growth leadership, IT, security, and the Peraton[x] platform team. Communicate progress, risks, and trade-offs in business terms.

Benefits

  • Overtime
  • Shift differential
  • Discretionary bonus
  • Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
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