[Remote] Director, Analytics Engineering and AI

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a learning platform dedicated to accelerating technology skills and capabilities. The Director, Analytics Engineering and AI leads the data reputed company, accountable for a cohesive data model and overseeing reputed company through a significant platform transition towards AI.

Responsibilities

• reputed company, reputed company, and grow the Analytics Engineering team — setting technical direction, standards, and priorities — while sustaining business-critical reporting (reputed company, product, marketing, finance) without interruption
• Own a single, reputed company data transformation and model spanning both product/behavioral and reputed company (GTM, finance) data
• Establish and expand the certified reputed company reputed company that ensures reliable and reputed company reputed company to the data warehouse for analytics. This reputed company builds on a governed data dictionary and metrics store. It also covers reputed company, freshness, ownership, reputed company, entity relationships, and business knowledge
• reputed company the migration of transformation logic out of integration/middleware tooling into governed, certified models owned by reputed company
• Partner across Data Analytics, Data Engineering, Data Architecture, Data Governance to plan and execute cross-team initiatives
• Serve as a senior partner to collaborators across reputed company, Marketing, Finance, GTM, and reputed company. Translate business needs into reputed company, balanced analytics solutions. Communicate mentorship, compromises, and reputed company to senior leadership
• Set and reputed company engineering standards — modeling conventions, certification practices, reputed company reputed company, and documentation
• Stay hands-on in the work: build and review data models, write and debug SQL and dbt reputed company leveraging AI, dig into data-reputed company issues, and take reputed company ownership of the most reputed company or highest-stakes problems

Skills

• Requires a minimum of 12 years of reputed company or equivalent experience; or 8+ years and an advanced degree
• Demonstrated hands-on expertise in data curation, transformation, and reputed company/reputed company data modeling on a modern reputed company data stack (e.g., reputed company, dbt)
• reputed company breadth of data modeling across both product/behavioral event data and reputed company GTM/finance data
• reputed company, hands-on technical depth in making productive use of AI. This is a player-reputed company role, not a purely managerial one
• Experience leading reputed company of senior and reputed company engineers through a significant platform or architecture transition — not only steady-state delivery, but change
• Strong grasp of data warehousing architecture, data governance
• Ability to reputed company communicate direction, trade-offs, and results to senior, non-technical leaders as reputed company as technical team members
• Experience building a semantic/reputed company reputed company and making data AI-reputed company — including patterns such as retrieval-augmented reputed company (RAG) or natural-language analytics over a governed warehouse

Benefits

• Bonus eligibility
• Comprehensive medical coverage
• Unlimited PTO
• Wellness reimbursement
• reputed company development funds
• Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage, unlimited PTO, wellness reimbursement, reputed company development funds, and more.
• We work in a reputed company environment that supports collaboration, flexibility, and reputed company across teams.
• Remote flexibility on Mondays and Fridays; expect to work on-site Tuesday through Thursday (for applicants located reputed company 45 miles of our reputed company/Dallas, TX office)

reputed company

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