Assoc Director, IT Data Engineering

Job Title: Associate Director, AI Lead (D&A Digital Marketing)

Key Responsibilities:
- Own end-to-end delivery of US Commercial Digital Marketing AI/ML and Generative AI solutions from ideation through production (timeline, technical quality, release readiness).
- Take a product-centric approach with ownership, roadmaps, and user adoption metrics.
- Oversee scalable solution development using AWS and Databricks and approved enterprise platforms.
- Build, train, or fine-tune ML models; validate and evaluate for fielding.
- Deliver Generative AI solutions (prompt engineering, retrieval/grounding) with quantitative/qualitative evaluation before production scaling.
- Design AI assistants/agent workflows to improve speed, quality, and consistency.
- Design agentic AI solutions (multi-agent orchestration and intelligent request routing) with evaluation and guardrails.
- Establish measurement frameworks to track business impact and model performance (KPIs, experimentation).
- Build reusable AI components (templates, evaluation approaches, shared patterns) and promote reuse.
- Partner on MLOps/LLMOps for deployment, monitoring, lifecycle updates, and controlled releases.
- Embed responsible AI, privacy, and compliance with legal/privacy/ethics teams.
- Manage vendor and co-sourced delivery partners.
- Communicate AI progress, outcomes, limitations, and risks to stakeholders.

Qualifications / Required:
- Bachelor’s + 10+ years OR Master’s + 8+ years OR PhD + 2+ years delivering AI solutions.
- Significant Agile technical delivery experience (backlog prioritization, sprint planning, releases).
- Hands-on lead experience (data scientist/AI-ML engineer/data engineer/solution architect) delivering production solutions.
- Strong ML fundamentals (statistics, validation, evaluation).
- Hands-on Generative AI (prompt engineering, LLM evaluation).
- Experience with multi-model agentic AI (routing, tool routing, benchmarks, observability).
- Practical MLOps/LLMOps for production ops.
- Cloud/data platform delivery experience (AWS, Databricks) with Python tooling.
- Stakeholder leadership; influence without authority; clear cross-functional communication.
- Product-centric mindset; works in ambiguity with continuous learning.

Minimum Required Education and Years of Experience:
- Bachelor’s + 10 years OR Master’s + 8 years OR PhD + 2 years.

Application Instructions:
- For current employees/contractors: apply via the Internal Career Opportunities portal in Workday.