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Allegis Group

Global talent solutions provider network

IS Manager - AI

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeHanover, MD, USA

About the Job

Requirements

  • A BA or BS, or equivalent experience, is required.
  • Experience delivering capabilities through Agile, iterative, product, or experimentation-based methods.
  • Experience with enterprise-scale applications, cloud platforms, data products, AI or machine learning capabilities, or comparable emerging technologies.
  • Ability to lead multidisciplinary development efforts and ensure objectives, goals, and commitments are met.
  • Business acumen and ability to connect technology investments to user needs and measurable business value.
  • Interpersonal skills for mentoring, coaching, collaborating, and team building.
  • Analytical, planning, and organizational skills to manage competing or ambiguous demands.
  • Oral and written communication skills, including experience interacting with business and IT stakeholders at all levels, including executives.
  • Experience managing large budgets and finances.

Responsibilities

  • Lead a portfolio of AI, data science, recommendation, search, automation, agentic AI, generative AI, conversational AI, and voice AI experiments across recruiter and seller experiences.
  • Support and drive business problems from hypotheses, research plans, technical discovery, prototypes, experiments, pilots, and measurable success criteria.
  • Partner with Product and UX to define user needs, prioritize opportunities, coordinate showcases and research, and incorporate feedback into experiment decisions.
  • Partner with Architecture and Engineering to evaluate feasibility, integration patterns, scalability, supportability, performance, and paths to production.
  • Coordinate governance with Legal, Security, Privacy, AI COE, Compliance, and TPRM to support responsible, auditable, and policy-aligned experimentation.
  • Drive initiative movement from intake and discovery through proof of concept, experiment, pilot, handoff, documentation, and scale or sunset recommendations.
  • Contribute and advise on metrics for adoption, quality, accuracy, latency, efficiency, experience, cost, business impact, and operational readiness.
  • Manage strategic technology and vendor relationships, including workshops, evaluations, commitments, costs, and outcomes.
  • Lead multiple cross-functional initiatives in parallel, aligning scope, capacity, timing, dependencies, and enterprise priorities.
  • Facilitate problem framing, hypothesis development, experiment planning, decision making, and stakeholder alignment.
  • Guide teams in building and testing working solutions across cloud, CRM, data, search, AI, API, and user-experience layers.
  • Remove delivery roadblocks, identify risks early, create mitigation plans, and escalate issues affecting outcomes.
  • Ensure experiments include user feedback loops, instrumentation, measurement, documentation, and exit criteria.
  • Present findings, tradeoffs, recommendations, and investment implications to technical, business, and executive audiences.
  • Promote reusable patterns and clear knowledge transfer for transition to product, platform, architecture, or delivery teams.
  • Champion continuous improvement in experimentation, software delivery, data quality, responsible AI, and cross-functional ways of working.
  • Coach others in their development as leaders and help them formulate their development agendas.
  • Assist in team development, hold teams accountable for commitments, remove roadblocks, leverage organizational resources to improve capacity, and mentor team members.
  • Promote team empowerment and engagement, ensure meaningful contributions, and encourage sustainable pace and quality.
  • Manage teams, including hiring, leadership, development, and performance accountability.
  • Establish operational and team objectives and goals.
  • Develop and manage the budget, produce monthly forecasts, approve operational expenditures, and plan capacity fluctuations based on the feature roadmap.

Desired Qualifications

  • Experience leading development teams; management experience is preferred.
  • Experience leading complex cross-functional initiatives across business and technology stakeholders.
  • Experience translating ambiguous business problems into executable plans, measurable outcomes, and executive-ready recommendations.
  • Experience with Salesforce, Google Cloud Platform, Azure, AWS, Elastic, Snowflake, or similar enterprise platforms.
  • Prior experience in the staffing industry.
  • Prior technical, development, or product experience.

About the Company

Allegis Group

Global talent solutions provider network

Allegis Group connects people with job opportunities and helps businesses with workforce needs through a network of specialized staffing and talent solutions brands. It offers a full suite of services—staffing, recruitment, managed services, and advisory—across industries, pairing job seekers with employers, managing talent pipelines, and delivering workforce solutions at scale via a global footprint. The company differentiates itself by providing an integrated, end-to-end set of talent solutions through a large portfolio of brands, giving it broad industry reach and consistent, high-quality experiences. Its goal is to help businesses win and careers soar by solving workforce challenges and delivering value across the talent lifecycle.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Hanover, Maryland
Founded
1983

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