Process Improvement Analyst, Specialist
{"description": " Responsibilities:
• Develops and applies process definition, improvement and design methodologies to identify, analyze and improve business processes to improve quality, reduce costs, increase efficiency/productivity, increase customer satisfaction, etc. all through the lens of AI driven improvement.
• Leverages technical expertise to coach other process improvement crew through initiatives.
• Concatenates process improvement data and uses key metrics to measure outcomes.
• Manages process improvement initiatives from inception through implementation ensuring deadlines are met. Defines scope and requirements, establishes timeline, and ensures timely completion of deliverables.
• Develops documentation to support analysis and improvement including business requirements, functional specifications, process maps, and gap/problem analyses.
• Develops and manages effective working relationships with internal clients (primarily senior leaders) and key stakeholders.
• Supports the development of training and/or management materials and activities to support new processes and procedures.
• Coordinates follow-up meetings for project teams using process improvement tools to ensure work is completed and improvements are maintained. Plans and implements quality assurance and compliance processes.
• Participates in special projects and performs other duties as assigned.
AI -Related Responsibilities Include:
• Applying a process-first lens to identify tasks and decision points where AI, automation, or low/no-code tools may improve efficiency, quality, or cycle time.
• Supporting Human + AI workflow design, clearly distinguishing where human expertise is essential versus where AI can assist or automate steps.
• Partnering with technical teams to translate redesigned processes into clear, well-defined requirements for AI-enabled MVPs, without owning model development or engineering.
• Defining and tracking outcome-based metrics (e.g., time saved, error reduction, adoption, risk mitigation) to evaluate the effectiveness of AI-enabled process improvements.
• Supporting adoption, training, and sustainment of AI-enabled processes in alignment with enterprise governance, risk, and compliance expectations.
Qualifications:
• Minimum of five years' related work experience with progressive responsibility required.
• Experience in IT type projects or technical environment preferred
• Undergraduate degree or an equivalent combination of training and experience required. Graduate degree preferred.
• Process improvement certification (i.e. McKinsey Lean training, Six Sigma certification, DIMAC) required.
• Ability to lead end-to-end improvement projects, foster stakeholder engagement, and drive sustainable change through structured methodologies and influence.
• Prior experience in consulting services, professional services, or management consulting environments is highly preferred.
Nice-to-Have:
• Process mapping, stakeholder analysis, change enablement, communication planning, data-driven decision making, and familiarity with enterprise tools for documentation and collaboration.
• Strong analytical, project management, and interpersonal skills are required to support cross-functional initiatives.
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.", "salary_raw": "Row(double=None, string=None)"}
