AI Adoption Data Specialist (mid-career)

Job Description

The Lockheed Martin Artificial Intelligence Center (LAIC) seeks a high-energy AI Adoption Data Specialist with a strong background in data engineering, generative AI, and developer enablement. You will be part of a multidisciplinary team of software engineers, product managers, and AI/ML experts focused on accelerating the adoption of developer AI tools across the enterprise.
This role blends data pipeline engineering with technical advocacy and strategic change management-you'll design and maintain the data infrastructure that powers AI adoption measurement, champion the use of AI-powered developer tools, and lead data-driven initiatives that ensure these solutions deliver measurable impact for Lockheed Martin teams. The ideal candidate combines strong data engineering fundamentals with an understanding of how data infrastructure supports organizational AI maturity and enterprise-wide transformation.
Key Responsibilities
Data Pipeline Design & Development
Architect and implement end-to-end data pipelines that ingest, transform, and deliver data from diverse enterprise sources to support AI adoption programs and analytics.
Design ETL/ELT workflows using Python, SQL, Flyte, and/or similar orchestration tools to process structured and unstructured data at scale.
Build and maintain data models optimized for AI/ML training datasets, adoption metrics, and executive dashboards.
Develop automated data quality checks, validation rules, and monitoring to ensure pipeline reliability and data integrity.
AI Adoption Analytics & Measurement
Create data infrastructure supporting AI adoption KPIs-including training completion rates, tool utilization, and organizational readiness metrics-across 120,000+ employees.
Build pipelines that aggregate and normalize data from LM Navigator, Genesis, and other internal AI platforms to provide unified adoption reporting.
Synthesize adoption metrics, developer feedback, and market trends into executive-ready reports and decision packages.
Develop real-time and batch data feeds for leadership dashboards that track AI maturity across business areas and programs.
Data Integration, Governance & Security
Integrate data from multiple internal platforms, HR systems, learning management systems, and AI tools into cohesive, AI-ready datasets.
Document data lineage, maintain data dictionaries, and enforce governance standards across all pipeline outputs.
Champion AI ethics, security, and trust principles within data workflows and the broader developer ecosystem.
Collaborate with cybersecurity and IT teams to ensure secure data transfer and storage within on-premises and classified environments.
Community & Ecosystem Development
Build and sustain a vibrant AI developer community through events, hackathons, and forums focused on data-driven AI adoption.
Serve as a bridge between developers, data teams, product teams, and leadership to ensure alignment on priorities and roadmap.
Contribute to the AI Factory ecosystem by developing reusable data components, integration patterns, and shared services.
Partner with engineering leaders to identify tool and solution gaps, and influence product direction based on developer feedback and adoption data.
Provide technical guidance to junior team members on data engineering best practices.

#LMLAIC

Basic Qualifications

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related STEM field.
5+ years of professional experience in data engineering, data pipeline development, AI strategy, developer relations, or technical program management.
Proficiency in Python and SQL for data manipulation, transformation, and pipeline automation.
Hands-on experience with data pipeline/orchestration tools (Flyte, AirByte, Apache Airflow, Prefect, Luigi, or equivalent).
Experience with relational databases (PostgreSQL, MySQL, or similar).
Strong technical understanding of generative AI, developer tools, and modern software development workflows.
Excellent communication and storytelling skills, with the ability to engage both technical and executive audiences.

Desired skills

Experience with data pipelines in defense, aerospace, or highly regulated industries.
Familiarity with AI/ML data preparation workflows, feature engineering, and training data management.
Experience with streaming data platforms (Kafka, Spark Streaming, or equivalent).
Knowledge of data visualization tools (Tableau, Power BI, or Grafana) for dashboard integration.
Advanced credentials in AI ethics, MLOps, or enterprise architecture.
Hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, internal LLMs).
Proven ability to build and sustain technical communities.
Exposure to containerization (Docker, Kubernetes) and CI/CD for data pipeline deployment.
Experience with API development (REST, GraphQL) for data service layers.
Familiarity with Lockheed Martin internal platforms (Navigator, Genesis, AI Factory)

EEO

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.

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At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.

With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.

If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.

Other Important Information

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to work remotely

Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.

Work Schedule Information

Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.

National Pay Statement

Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $108,800 - $191,820. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
This position is incentive plan eligible.

Premium Pay Statement

Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $125,100 - $216,890. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
This position is incentive plan eligible.