Responsibilities
Own onboarding and data health for our strategic and high-value clients, including ongoing enhancements to their data quality and overall tech stack integration
Align with pre-sales teams and consult with prospects/clients to define business goals and metrics to guide data architecture and project outcomes
Engage with customers engineering, product management, and marketing teams to handle technical onboarding, optimize deployments, and improve data trust
Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices
Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects
Successfully execute on deliverables whilst balancing project timelines, scope creep, and unanticipated issues
Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects
Be a technical sponsor for internal engagements with product and engineering teams to prioritize product and systems tasks from clients
Comfortable with data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, etc.
Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.
Familiar with analytics best practices across business segments and verticals
Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change
Has experience in customer success, client-facing professional services, consulting, or technical project management role
Excellent written, analytical, and communication skills
Strong process and/or project delivery discipline
Eager to learn new technologies and adapt to evolving customer needs
