What are the responsibilities and job description for the Data Product Knowledge Lead position at SysMind, LLC?
Role Name: Data Product Knowledge Lead
Location: Los Angeles, CA (Remote)
Location: Los Angeles, CA (Remote)
JOB DESCRIPTION:
The Data Product Knowledge Lead is the accountable insurance domain authority for the data product This role owns business meaning insurance rules and outcome clarity ensuring delivery teams build data products that accurately reflect insurance operations and intent
This role partners closely with the Product Technical Lead and supports offshore teams using AI Accelerator tools by providing clear unambiguous business guidance
Core Responsibilities
Act as the primary insurance SME for the data product underwriting rating policy claims billing distribution
Own and validate business rules definitions metrics and KPIs
Lead business discovery and translate intent into clear requirements user stories and acceptance criteria
Ensure insurance semantics are correctly represented in canonical models and Data Vault 20 structures
Serve as the onshore business anchor for offshore delivery teams clarify logic resolve ambiguity remove blockers
Review outputs for business correctness and support SITUAT from a business perspective
Interface with insurance stakeholders and support productlevel governance and walkthroughs
Collaboration Model
Product Technical Lead Technical architecture Data Vault correctness delivery quality
Data Product Knowledge Lead Insurance meaning business rules outcome validation
Offshore Teams AIAccelerated Build and implement per defined architecture and requirements
Required Background
Deep handson insurance industry experience PC preferred Commercial Specialty or Life acceptable
Strong functional knowledge in one or more insurance domains
Experience supporting onshoreoffshore delivery models
Ability to translate complex insurance logic into clear consumable guidance"
The Data Product Knowledge Lead is the accountable insurance domain authority for the data product This role owns business meaning insurance rules and outcome clarity ensuring delivery teams build data products that accurately reflect insurance operations and intent
This role partners closely with the Product Technical Lead and supports offshore teams using AI Accelerator tools by providing clear unambiguous business guidance
Core Responsibilities
Act as the primary insurance SME for the data product underwriting rating policy claims billing distribution
Own and validate business rules definitions metrics and KPIs
Lead business discovery and translate intent into clear requirements user stories and acceptance criteria
Ensure insurance semantics are correctly represented in canonical models and Data Vault 20 structures
Serve as the onshore business anchor for offshore delivery teams clarify logic resolve ambiguity remove blockers
Review outputs for business correctness and support SITUAT from a business perspective
Interface with insurance stakeholders and support productlevel governance and walkthroughs
Collaboration Model
Product Technical Lead Technical architecture Data Vault correctness delivery quality
Data Product Knowledge Lead Insurance meaning business rules outcome validation
Offshore Teams AIAccelerated Build and implement per defined architecture and requirements
Required Background
Deep handson insurance industry experience PC preferred Commercial Specialty or Life acceptable
Strong functional knowledge in one or more insurance domains
Experience supporting onshoreoffshore delivery models
Ability to translate complex insurance logic into clear consumable guidance"
SYSMIND LLC is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without any discrimination. We promote and support a diverse workforce at all levels in the company. All job offers are contingent upon completion of a satisfactory background check and reference checks. Additionally passing the drug test may also be required. All contractors intending to work on SYSMIND's W2 are "at will" employees.