Productivity Enablement Specialist

Vanguard • Malvern, PA

1d • Hybrid

About The Position

The Productivity Enablement Specialist accelerates AI-enabled process transformation to improve how technology teams deliver value for clients. The role partners directly with engineering, product, platform, and architecture teams to improve delivery effectiveness through workflow optimization, AI adoption, and measurable productivity improvements. It combines technical expertise, process improvement methods, and emerging AI capabilities to reduce friction, improve flow and quality, and accelerate outcomes across a portfolio of technology teams. This is a hands-on execution role focused on implementing solutions and delivering measurable improvements in workflows, systems, tooling, and business outcomes, rather than traditional Agile coaching or advisory-only work.

Requirements

• At least eight years of experience in software engineering, technology transformation, developer productivity, technical program management, consulting, or a related technology discipline.
• Undergraduate degree in a related field, or an equivalent combination of training and experience.
• Strong understanding of software development lifecycles, modern engineering practices, and delivery methodologies, with the ability to identify and remove delivery bottlenecks.
• Hands-on experience applying AI-enabled tools, automation, or emerging technologies to improve team productivity, quality, and operational efficiency.
• Proven ability to influence and partner with engineering, product, and technology leaders in a complex, matrixed environment while driving measurable change.

Responsibilities

• Own team-level productivity improvement across a portfolio of 6–7 teams by identifying friction, redesigning workflows, and embedding AI-assisted ways of working with measurable impact and accountability.
• Apply technical skills and AI tooling to experiment with, design, and implement AI-powered workflows, automations, and orchestration that improve work from discovery through delivery.
• Lead value-stream and FLOW deep dives to identify friction such as handoffs, rework, blocked time, meetings, and delivery bottlenecks, and translate findings into system, process, and tooling improvements.
• Embed AI in workflows, including drafting, summarization, backlog shaping, test generation, and engineering workflows, to reduce manual effort and improve execution.
• Partner hands-on with teams to deliver measurable change using throughput, predictability, quality, flow, and productivity measures; strengthen adoption and refine solutions.
• Document proven workflows, patterns, playbooks, and technical approaches so successful experiments can be repeated and scaled across teams.
• Build team capability and ownership so AI-enabled improvements become sustainable ways of working.
• Serve as the local execution arm of the cross-region productivity operating model, triage opportunities across supported teams, focus effort on high-impact work, and surface early indicators of OKR and delivery risk through AI-powered insights.
• Stay current on emerging AI capabilities and engineering practices, applying techniques such as context engineering, MCP, agentic workflows, and automation when they can materially improve delivery outcomes.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior