Productivity Enablement Specialist

The Vanguard Group • 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 with engineering, product, platform, and architecture teams to improve delivery effectiveness through workflow optimization, AI adoption, and measurable productivity improvements. It applies technical expertise, process improvement methodologies, 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. It is not primarily a traditional Agile coaching or facilitation role, nor an advisory-only position.

The specialist owns productivity improvement across a portfolio of 6–7 teams, identifies and addresses delivery friction, implements AI-powered workflows and automations, and helps teams adopt sustainable improvements. The role also contributes to a cross-region productivity operating model by prioritizing opportunities and surfacing early indicators of OKR and delivery risk through AI-powered insights.

Vanguard uses a hybrid working model for the majority of crew members, supporting flexibility alongside in-person learning, collaboration, and connection. Vanguard is not offering visa sponsorship for this position.

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, partnering with engineering, product, platform, and architecture stakeholders to identify friction, redesign workflows, and embed AI-assisted ways of working with clear measures of impact and accountability.
• Use hands-on technical skills and AI tooling to experiment with, design, and implement AI-powered workflows, automations, and orchestration that improve the path from discovery through delivery.
• Lead value-stream and FLOW deep dives to identify recurring friction, including handoffs, rework, blocked time, meetings, and delivery bottlenecks, and translate findings into system, process, and tooling improvements.
• Embed AI into workflows for activities such as drafting, summarization, backlog shaping, test generation, and engineering work to reduce manual effort and improve execution.
• Partner hands-on with teams to deliver measurable change, using throughput, predictability, quality, flow, and productivity measures to assess impact, strengthen adoption, and refine solutions.
• Document successful experiments as repeatable workflows, patterns, playbooks, and technical approaches that other teams can adopt and scale.
• Build team capability and ownership so AI-enabled improvements become sustainable ways of working rather than one-time interventions or centrally owned solutions.
• Serve as the local execution arm of the cross-region productivity operating model, triaging opportunities across supported teams, focusing effort where it can have the greatest impact, and surfacing 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 where they can materially improve delivery outcomes.

What This Job Offers

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