Information Security SpecialistJob Overview An immediate opportunity is available for an experienced Manager, AI & Research Computing Initiatives to lead the strategic planning, technical roadmap, and operational coordination of artificial intelligence and research computing services. This hybrid position requires a local Boston-area candidate with strong expertise in AI infrastructure, research computing, technical project coordination, and team management. Candidates with demonstrated experience developing AI/ML infrastructure strategies, managing technical teams, and partnering with academic or research organizations will be best positioned to secure an interview.
The successful candidate will combine technical expertise with operational leadership to support evolving research computing demands, strengthen AI capabilities, and deliver reliable technology services to research communities.
Must Haves - AI and Research Computing Expertise: Demonstrated experience with AI infrastructure, research computing environments, machine learning technologies, and enterprise technology planning.
- AI Infrastructure Strategy: Experience developing technical roadmaps involving GPU infrastructure, accelerator capacity planning, containerized environments, AI workflows, and MLOps tooling.
- Technical Project Management: Proven ability to coordinate complex technical projects, manage service delivery, track incidents, and collaborate across multiple technology teams.
- People Management: Experience supervising, mentoring, and developing technical professionals, including workload planning, performance management, hiring, and onboarding.
- Research Computing Operations: Understanding of research computing environments, compute utilization, storage services, resource allocation, and infrastructure planning.
- Reporting and Business Analysis: Ability to develop operational reports, analyze resource utilization, evaluate service performance, and recommend process improvements.
- Stakeholder Management: Strong communication and relationship-building skills, with experience working alongside technical teams, academic stakeholders, researchers, and senior leadership.
- Training and Documentation: Experience coordinating technical training programs, developing user documentation, and improving knowledge-sharing processes.
What the Client Needs You to Do The organization needs an experienced technology manager who can guide the development of AI-enabled research computing capabilities while ensuring day-to-day operational activities are delivered effectively. You will help anticipate emerging artificial intelligence and machine learning infrastructure requirements, translate research needs into technical plans, and establish partnerships that support evolving academic and scientific initiatives.
You will also oversee a team responsible for coordinating research computing services, project activities, incident management, and researcher support. Working closely with technical leadership, faculty, research groups, and infrastructure teams, you will ensure that resources, expertise, and operational processes are aligned with institutional priorities.
Key outcomes include:
- Establishing a forward-looking AI and research computing technology roadmap.
- Improving GPU, accelerator, storage, and computing resource planning.
- Ensuring effective coordination of research projects and technical support requests.
- Developing a high-performing team through mentorship and operational leadership.
- Strengthening reporting, documentation, training, and service delivery processes.
- Supporting research initiatives that require advanced AI infrastructure and specialized computing environments.
Key Responsibilities - Drive AI Infrastructure Strategy: Develop and maintain the technical roadmap for AI-enabled research computing, including GPU capacity planning, accelerator technologies, containerized environments, AI workflows, and MLOps solutions.
- Anticipate Emerging Technology Needs: Evaluate evolving AI and machine learning requirements, identify infrastructure gaps, and translate anticipated research demands into actionable technology plans.
- Provide Technical Expertise: Serve as an internal subject matter expert on AI infrastructure, advising technology teams and promoting consistent knowledge-sharing across the organization.
- Coordinate Research Computing Projects: Oversee daily coordination of research computing activities, ensuring technical resources and stakeholder engagement are appropriately aligned with project requirements.
- Manage Service Delivery: Monitor incidents, service requests, and fulfillment timelines. Escalate outstanding issues and coordinate with relevant teams to maintain service quality.
- Supervise and Develop Staff: Lead the operational team by establishing priorities, distributing workloads, supporting performance evaluations, and coordinating recruitment, onboarding, and professional development.
- Prepare Operational Reports: Develop recurring and ad hoc reports covering system utilization, storage consumption, resource allocation, service performance, and other operational metrics.
- Improve Business Processes: Analyze research project workflows and recommend improvements, particularly for complex initiatives involving secure research environments and regulated computing systems.
- Coordinate Training Programs: Organize technical and academic training activities, including instructor-led sessions, self-paced learning materials, and recorded instructional videos.
- Maintain Technical Documentation: Oversee updates to technical knowledge bases, user guides, internal documentation, and other resources supporting research computing services.
- Support Strategic Partnerships: Collaborate with faculty, research leaders, technical stakeholders, and grant-funded research teams to identify infrastructure requirements and support AI-intensive research initiatives.
W2 employees of Overture Partners who work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), 401(k) starting on day one, a variety of voluntary benefits including life and disability insurance, and sick time if required by law in the worked-in state/locality.
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