Growth Analytics Engineering Data Jobs

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Senior Manager, Growth[x] Data & AI Engineering

Peraton Reston, VA

Reston, VA

Today

$176k - $282k/yr Full time Manager Senior Apache Airflow

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Job Description

Lead and build the data and AI engineering foundation for Growth[x], including pipelines, integrations, knowledge cortex development, and governance at enterprise scale.

Responsibilities

Plan, coordinate, and manage data pipelines, cortexes, integrations, and governance to keep Growth[x] trustworthy, secure, and usable across the enterprise.
Architect and build, alongside the team, the data and AI foundation powering Growth[x].
Own the end-to-end technical vision for Growth[x], connecting opportunity identification, qualification, capture, color teams, pricing inputs, past performance, solutioning, and proposal development into a single AI-enabled workflow on Peraton[x].
Design and stand up knowledge cortexes including ontology, mission briefing, curated content, and KG structure.
Set standards for building, versioning, and maintaining cortexes as source material changes.
Lead integration with CIO managed and governed systems of record Growth[x] depends on, plus the Peraton Data Warehouse and cross-corporate functionally owned SharePoint repositories.
Drive data-quality remediation to ensure AI outputs are trustworthy.
Convert end-to-end growth steps into event-triggered data packages, intuitive dashboards, and skills/workflows on Peraton[x].
Partner with Growth process owners to redesign workflows around AI, not by bolting AI onto legacy steps.
Partner with the Peraton[x] team to keep Growth operations optimized and evolving with the platform.
Upgrade an existing library of BAP prompts and playbooks into hardened, reusable skills and flows with clear inputs, outputs, and quality gates.
Build training curriculum and enablement collateral (tool-specific and process-specific) to enable capture managers, proposal managers, solution architects, and pricing leads to operate Growth[x].
Lead and manage a small, high-leverage team, setting technical direction, prioritizing the roadmap, and coaching technical operators.
Serve as senior point of accountability to Growth leadership, IT, security, and the Peraton[x] platform team, communicating progress, risks, and trade-offs in business terms.

Requirements

12+ years of progressive experience in data/AI, solution architecture, or digital transformation; 5+ years leading technical teams.
Demonstrated ownership of an enterprise AI or analytics platform from architecture through adoption (not limited to pilots).
Strong working knowledge of agentic AI systems, including prompt engineering, retrieval/knowledge graphs, evaluation, and productionization patterns.
Experience working within shared infrastructure models, consuming centrally managed data platforms without owning underlying infrastructure.
Experience working with or alongside a CIO office or enterprise IT governance function in a consumer or 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 such as Azure Synapse, ADLS, ADF, and 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 including 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 across executive stakeholders, CIO-office counterparts, and hands-on engineers.
US citizenship.
Willing to obtain and maintain a TS/SCI security clearance.

Technologies

SQL, PostgreSQL, Microsoft SQL Server
Apache Airflow, Informatica, Talend, dbt
AWS, Microsoft Azure, Azure Synapse, ADLS, ADF, BigQuery
Power BI, Alteryx

Benefits

Medical, dental, vision
Life and health savings account
Short/long term disability
EAP
Parental leave
401(k)
Paid time off (PTO) for vacation
Company paid holidays

Desired Qualifications

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.

Location: Reston, VA (onsite)

Target salary range: USD 176,000 - 282,000 per year

Application Information

The application period is estimated to be 30 days from the job posting date.
During application review, you may be required to participate in an on-camera interview.
A process to verify identity may be required.
Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization.
All interview responses must be the candidate’s own.

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