Learning Systems Lead

Booz Allen Hamilton Inc.
Fairfax, United States
22 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Experience level
Expert
Experience required
5 years minimum
Compensation
$69,400.0 - $158,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Learning Management Systems Enterprise Content Management Operational Data Store Sharable Content Object Reference Model Systems Integration

Job description

As the Learning Systems Lead, you will serve as the primary functional contact for our learning platforms-including Workday Learning, Degreed, skills platforms, content providers, and internal tools. You will help teams navigate platform capabilities, resolve operational issues, and translate business needs into platform aligned solutions that improve the learner experience and operational efficiency.

You will support the execution of the learning systems strategy defined by the Senior Manager of Learning Systems and Analytics, working closely with IT, vendors, L & D teams, and the Learning Analytics and Insights Lead. This role is ideal for someone experience d in complex learning ecosystems who brings strong problem-solving skills , cross team coordination, and a product minded, innovation-oriented approach.

How You’ll Contribute:

  • Serve as the functional point of contact for learning platforms and promote consistent usage across teams.
  • Help teams understand platform capabilities, constraints, and solution paths that align with business needs.
  • Lead functional troubleshooting, identify root causes, and partner with IT and vendors to resolve issues efficiently.
  • Stay informed about platform updates and communicate relevant changes to stakeholders in clear, practical terms.
  • Support a cohesive experience across platforms and reduce fragmentation within the learning ecosystem.
  • Improve usability by strengthening organization, accessibility, and workflow clarity across tools.
  • Drive adoption by identifying friction points and helping teams embed learning into natural moments of need.
  • Use platform usage, e nga gement trends, and operational data to validate issues and prioritize improvements.
  • Partner with the Learning Analytics & Insights Lead to ensure platforms support accurate and meaningful measurement.
  • Translate insights into platform enhancements that enable better learner outcomes and team efficiency.
  • Identify opportunities to enhance platform performance and alignment with business goals.
  • Apply AI fluency to improve workflows, search, personalization, and automation across the ecosystem.
  • Stay informed about vendor roadmaps and evolving capabilities, recommending new features based on impact.
  • Contribute to continuous discovery by gathering feedback, assessing needs, and shaping iterative improvements.
  • Ensure learning platforms operate cohesively as part of an integrated ecosystem, coordinating with IT and vendors to support interoperability and seamless user experience s.
  • Lead cross team initiatives in a matrixed environment involving content teams, HR Tech, IT, data teams, skills partners, and vendors.
  • Facilitate alignment during platform updates, pilots, and releases.
  • Translate business needs into clear functional requirements that support develop ment and enhancement work.
  • Support the develop ment of requirements for new features, integrations, and improvements.
  • Lead UAT planning and execution, including test scenarios, defect tracking, and release validation.
  • Ensure new capabilities are ready for operational adoption and well understood by platform users.

Requirements

  • 5+ years of experience working with enterprise learning platforms in complex, multisystem ecosystems
  • Experience configuring, administering, or supporting HR technologies such as LMS or LXP
  • Experience working with IT and vendors to translate business needs into functional requirements
  • Experience with project management, product management, and change management supporting technology initiatives
  • Experience with AI, including applying AI capabilities to enhance workflows or user experience
  • Ability to diagnose platform issues
  • Ability to use data to inform decisions and understand platform performance
  • Ability to lead cross-team initiatives without formal authority
  • HS diploma or GED

Nice If You Have:

  • Experience with Workday Learning or Degreed LXP
  • Experience with content governance or skills frameworks
  • Experience supporting training or communication related to platform rollouts
  • Knowledge of SCORM / xAPI behaviors
  • Possession of excellent verbal and written communication skills
  • Possession of strong problem-solving skills

Benefits & conditions

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,400.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

About the company

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · WWC 2023

3:00 min

Designing data ingestion architecture with system integration

Eldert Grootenboer +1 · WWC 2023

1:25 min

Computer memory architecture and hardware hierarchy

Alex Gorbunov Alex Gorbunov · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

5:36 min

Enhancing employee experience via AI coaching and knowledge bases

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

Videos

See all

Related articles

See all