Job Description

About the Company:

The candidates for this opportunity must be a US Citizen or Green Card Holder living in the state of Washington.

About the Role:

This role is responsible for leading our data management practices across the enterprise, building a robust and trusted proprietary data ecosystem that will unlock new product and service opportunities, enable us to lean into ethical AI and predictive services, create new levels of personalization for our valued members, and create efficiency and value for our employees.

Responsibilities:

• As a member of the Data Governance Steering Committee, assist in the creation of standards, procedures, and practices that ensure enterprise-wide consistency throughout the entire data lifecycle, including data collection, storage, and processing.
• Ensure that our data stewardship practices align with data classification and data retention policies and standards.
• Establish documentation standards, naming conventions, and quality metrics.
• Responsible for activities and processes that ensure the timely documentation of data elements, decisions, and business rules.
• Enforcement and reporting of policies and procedures to govern data, including data quality, security, and handling.
• Oversee the Data Stewardship Working Group, a decentralized group comprised of data stewards and advocates across the organization responsible for developing and auditing data quality rules, identifying initiatives that address data quality and trustworthiness, and establishing data stewardship practices that ensure data meets the organization's needs.
• Collect, collate, and triage data issues, working with Product Management, Product Engineering, IT, Data Analytics, Information Security, and business stakeholders to identify approaches and solutions for remediating data issues.
• Lead efforts to ensure that our reference data metadata adhere to standard business definitions, driving measurable improvement in data homogeneity and consistency.
• Lead efforts to classify data based on sensitivity, usage, and regulatory requirements.
• Create and maintain a data catalog, ensuring an up-to-date inventory of data assets, their lineage, and identification of master data elements.
• Collaborate closely with Product Management, Product Engineering, Data Analytics, and business stakeholders to develop roadmaps and strategies for positioning our data for Machine Learning and AI/LLM use cases.
• Lead efforts to devise enterprise-level data management roadmaps and annual operating plans for the organization.
• The focal point for data-related issues, facilitating resolution through the Data Governance Steering Committee.
• Responsible for maintaining evidence and supporting documentation for regulatory and internal auditing.
• Collaborate with Technical Product Managers, business stakeholders, Information Security, and IT operations to establish appropriate processes for granting system access and privileges and maintaining data controls.
• Collaborate with our Product Engineering, Product Management, Information Security, and Data Analytics teams to ensure that our data management practices adhere to compliance and regulatory requirements.
• Collaborate with Information Security to ensure the company's data management practices stay aligned with changing data laws and regulations.
• Coordinate with our Security and Learning and Development teams to ensure employee training accurately reflects the organization's data management policies and standards.
• Lead stewardship outreach activities that educate employees on data handling procedures and best practices.
• Lead efforts in collaboration with Product Engineering and Product Management for the archiving, retrieval, and reuse of data.
• Contributes to a positive team dynamic through respectful interactions, positive contributions, and active collaboration to achieve department and organizational goals.

Qualifications:

Bachelor’s degree in information systems or equivalent experience

Required Skills:

5+ years’ experience as a data architect, data steward, data scientist, or data manager working in an agile/Scrum environment

Preferred Skills:

Previous experience in Travel, Insurance, Automotive, or Membership-based organizations a plus

Pay range and compensation package:

Pay range or salary or compensation

Equal Opportunity Statement:

Include a statement on commitment to diversity and inclusivity.

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