Verisk · 3 days ago
Lean Six Sigma Black Belt - Process Improvement Engineer
Verisk is a leading data analytics and technology partner to the global insurance industry. They are seeking a seasoned Lean Six Sigma Black Belt to drive process improvements and operational excellence across the organization, utilizing Lean Six Sigma methodologies to enhance efficiency and quality.
AnalyticsFinancial ServicesHealth CareInformation ServicesInsurancePublic RelationsRisk Management
Responsibilities
Performs moderate to complex analyses of business goals, objectives and needs within the general business environment
Identifies potential risks & issues relating to the delivery of projects and manage a resolution process in a timely manner
Leads cross-functional projects to drive improvement in process metrics, targeted financial benefits, and achieve company goals
Works with business functions to develop and implement data gathering techniques to identify and rank opportunities for continuous improvement
Leads major projects and assists other project leaders to drive improvement in process metrics, targeted financial benefits, and achieve company goals
Works in coordination with leadership to analyze, monitor and assess critical activities affecting policy, organizational guidance, and developmental processes
Assist with data analysis, conclusions and presentations related to project completion and findings
Provides project leadership
Monitors and analyzes the effectiveness of Lean Six Sigma project work vs goals and objectives, and corporate expectations, and take appropriate action to improve performance as indicated
Mentor and coach Green Belts, SMEs, and team members
Support Black Belts and Green Belts in the certification process
Provides training in Lean and Six Sigma concepts
Completes all responsibilities as outlined on annual performance plan
Completes all special projects and other duties as assigned
Provides program leadership to drive process transformation using LSS methodologies across aligned competency areas
Qualification
Required
Bachelor's degree required
Black Belt Certification required
25% Travel
Strong analytic aptitude required. Must be able to assess and address moderate to complex business problems and develop and implement solutions to meet business unit goals
Highly motivated with the ability to work in a fast paced, dynamic environment. Able to work in a collaborative fashion and independently. Collaborate with senior stakeholders and own and drive improvement results
Must be able to identify AI use cases for the corporate function area/ business unit's area and work with techno functional teams to automate and streamline solutions using AI
Polished presentation and public speaking skills with an ability to interact at an executive level
Strong coaching, mentoring and instructional capability on advanced continuous improvement concepts
Strong written communication skills and a professional demeanor. Must be able to communicate on a business and technical level
Production minded, customer oriented and results driven and able to work in a team in a high performance environment
Able to work in a collaborative fashion and independently. Connect with senior stakeholders and own and drive improvement results
Preferred
Masters in Business or Engineering is a plus
10-15 Years of Experience - Portfolio of past work preferred
Benefits
Health Insurance
A Retirement Plan
Disability benefits
A Paid Time Off program
Company
Verisk
Verisk Analytics is a data analytics and risk assessment firm for the insurance sector.
H1B Sponsorship
Verisk has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (4)
2022 (4)
2021 (2)
Funding
Current Stage
Public CompanyTotal Funding
$2.4B2025-08-07Post Ipo Debt· $1.5B
2024-05-21Post Ipo Debt· $400M
2023-03-03Post Ipo Debt· $500M
Leadership Team
Recent News
2026-01-03
2026-01-03
2025-12-30
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