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Analysis Confidence64%

Based on 1 signals across 1 inspection layer

Signal Distribution

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Threat Intel
Jun 10, 2026, 10:30 PM UTC
https://job-boards.greenhouse.io/themichaeljfoxfoundation/jobs/4135018009?gh_src=onpurposecareers
EA8B6A5D
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Forensic Breakdown

1 signals analyzed across 1 inspection layer

Domain Intelligence

job-boards.greenhouse.io

Registered Domain

Total Scans

3

Avg Threat Score

7

Full Domain Intelligence Report

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Submitted Description
Position Summary:
The Michael J. Fox Foundation for Parkinson's Research ("the Foundation") is seeking top talent for its Senior Process Improvement Specialist (People & Culture) position.  Reporting to the SVP, Head of Employee Experience, this role supports the Foundation’s mission by strengthening how work gets done across the People & Culture unit. Sitting within the Employee Experience (EX) department, this role focuses on continuous process improvement, executional support for knowledge management practices and maintaining cross-initiative visibility to help ensure work is sustainable and well-coordinated. 

This position partners with People & Culture team and departments across the organization to document and improve workflows, support adoption of consistent ways of working, and help ensure staff have access to accurate, well-organized knowledge resources. This role maintains a high-level view of all People & Culture initiatives to help surface capacity risks, overlapping demands, and cumulative impacts. 

This is a hybrid-flex position that will require in-person attendance at The Michael J. Fox Foundation’s headquarters in New York City. 

 

Key Responsibilities:
Process Improvement & Enablement (40%) 

    Partner within P&C team to understand existing workflows, identify pain points and support & implement the design of improved processes 

    Facilitate process mapping and documentation to increase clarity, consistency and efficiency 

    Develop plans to drive adoption of new or updated processes through communication, training and hands-on enablement 

    Gather feedback and observations to support ongoing, iterative process improvements 

 
Knowledge Management Coordination & Content Intake (30%) 

    In partnership with and under the guidance of the Knowledge Management Lead, this role drives the coordination of knowledge management practices and how content is captured to enable employees in their jobs 

    Develop processes to capture, organize and maintain institutional knowledge in alignment with established knowledge management frameworks and standards 

    Maintain and operationalize the intake process for new knowledge content, ensuring submissions include required context, ownership and review timelines 

    Serve as a point of coordination for new content submissions, working with subject matter experts and content owners to support refinement and publishing 

    Apply established standards for foundation-level content structure, tagging, version control and accessibility to ensure information is easy to find and use 

    Develop frameworks for tracking content ownership and review cycles to support long-term sustainability 

    Provide hands-on support to teams using knowledge management tools and processes, escalating systemic issues or improvement opportunities to the Knowledge Management Lead as appropriate 


Portfolio Awareness & Capacity Insights (20%) 

    Maintain a high-level view of People & Culture initiatives, projects and ongoing work to support coordination, visibility and sustainability across the team 

    Monitor how People & Culture work intersects with staff capacity both within the P&C team and across partner teams, identifying potential overload, sequencing challenges or competing demands 

    Identify cross-initiative patterns, dependencies and cumulative impacts related to process changes, documentation needs and knowledge updates 

    Surface observations, risks and capacity-related insights to EX leadership to support informed decision-making and prioritization 


Qualifications & Skills:

    Relevant experience in people, process and technology enablement preferred 

    Demonstrated ability to analyze workflows and translate them into clear, usable documentation 

    Experience supporting knowledge management systems, intranets or shared documentation tools 

    Team-player with strong written and verbal communication skills 

    Experience collaborating with diverse stakeholders in a mission-driven organization 

    Experience driving organizational change or enablement initiatives 

    Familiarity with AI is a plus 

 

#LI-DNI

Compensation & Benefits
Individual compensation for this role is dependent on a variety of factors, including, but not limited to, qualifications, skillsets, and applicable laws.  In addition to salary, the Foundation offers a comprehensive benefits package, including:

    15+ options for medical insurance (with the Foundation paying 90 percent of the premiums) 

    Competitive dental and vision plans 

    401(k) plan with 6 percent employer contribution 

    Flexible spending accounts 

    Employer paid life and disability insurance  

    18 Vacation Days; 12 Well-Being (Sick) Days; 2 Personal Days; summer Fridays (office closure at 2pm) and a summer holiday week over July 4 

    Flexible work environment.  We trust all employees to work closely with their manager and colleagues to determine when, where and how programs and projects get done.   

Employees are also eligible for a discretionary bonus on an annual basis. The Foundation provides staff and leadership cultivation through regular training courses and events.   

Salary Range

$100,000 - $115,000 USD

How to Apply: 
Interested candidates should submit a resume and thoughtful cover letter describing through examples, their specific qualifications and interest in the position. If you think that your skills are transferable and can add value to this role, please apply. Applicants who best match the position’s needs will be contacted.

Methodology: VeriJob analyzes domains, TLS certificates, DNS records, content patterns, and reputation databases using a weighted signal model. Scores are probabilistic estimates, not legal verdicts.

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