Data Ops Lead - CX Analytics

Job Title: Data Ops Lead CX Analytics

Location: Hybrid - San Francisco Bay Area

Duration: 6 Months (Possible extension)

Position Overview

• We are seeking a Data Ops Lead Contractor to optimize and mature our data operations for CX Analytics digital data assets. This role balances hands-on technical delivery with strong communication and collaboration. The primary focus is ensuring the proper documentation, definition, and ongoing refinement of data models that underpin key business measures and KPIs. You will partner with CX Analytics team members, UX Research, Service Design, engineering, and analytics teams to translate business needs and research findings into effective, trusted data assets while overseeing the development, quality, and flow of web analytics data pipelines from AWS Iceberg through to Snowflake and BI tools.

Key Responsibilities:

• Lead the documentation, definition, and governance of data models that support product- and business-critical KPIs.
• Collaborate with CX Analytics team members to gather and translate analytics requirements into robust, actionable data products.
• Work extensively with UX Research and Service Design teams to align data models and insights, integrating quantitative and qualitative journey data into analytics assets.
• Guide and support the development of scalable ETL/ELT pipelines (using Airflow, Python, and Snowflake procedures) to move and transform web clickstream data.
• Promote discovery and ad hoc analysis within AWS Iceberg environments and ensure seamless reporting enablement from Snowflake and other BI tools.
• Champion clear communication, knowledge sharing, and documentation practices to expand access to meaningful analytics for all team members.
• Foster a data as a product culture emphasizing structure, rigor, innovation, transparency, and the highest standards of data governance and quality.

Primary Skills:

• 5 7 years of experience in data operations, data analytics, data engineering, or related roles within large-scale digital or customer analytics environments.
• Demonstrated ability to create structure and rigor in documenting data models, managing analytic KPIs, and governing data assets.
• Experience designing and governing enterprise-scale data products and analytic assets.
• Secondary Skills:
• Strong communication and collaboration skills, with a proven track record of effective partnership across business, product, technical, and UX Research teams.
• Proficiency in ETL/ELT pipeline development, with the ability to guide, standardize, and improve technical workflows and data quality best practices.
• Exceptional problem-solving and requirements-gathering skills, translating ambiguous business needs into structured data models.

Typical Qualifications:

• Bachelor s degree in a related field (e.g., Computer Science, Data Science, Information Systems) preferred.
• Experience with AWS Iceberg, Snowflake, and Power BI is a plus.
• Proven ability to enable ad hoc and self-service analysis by documenting clear, reusable data assets.
• Able to work effectively as a collaborative, high-impact resource within a lean, cross-functional team.
• Knowledge of commonly-used concepts, practices, and procedures within data operations or analytics.
• Ability to work under immediate supervision, reporting to a project leader or manager.