Assoc Director, IT Data Engineering
Gilead Sciences
4 hours ago
Remote friendly (Raleigh, NC)
United States
IT
Associate Director, AI Lead (D&A Digital Marketing)
Key Responsibilities
- Own end-to-end delivery of US Commercial Digital Marketing AI solutions from ideation through production (timeline, technical quality, release readiness).
- Apply a product-centric approach with roadmaps and user adoption metrics for each AI capability.
- Oversee development of scalable solutions using AWS, 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 patterns) with quantitative/qualitative evaluation before scaling.
- Design AI assistants and agent workflows to improve speed, quality, and consistency of insights/recommendations.
- Design and deliver agentic AI solutions (multi-agent orchestration, intelligent request routing) with evaluation and guardrails.
- Establish measurement frameworks using KPIs and experimentation methods.
- Build reusable AI components (templates, evaluation approaches, shared patterns) to accelerate future delivery.
- Partner with engineering to align to MLOps/LLMOps for deployment, monitoring, lifecycle updates, and controlled releases.
- Embed responsible AI, privacy, and compliance with legal/privacy/ethics teams.
- Manage vendor relationships and co-sourced partners.
- Communicate AI progress, outcomes, limitations, risks; translate between technical and non-technical stakeholders.
Key Skills & Experiences / Qualifications
- Bachelor’s degree with 10+ years, or Master’s with 8+ years, or PhD with 2+ years delivering AI solutions.
- Significant Agile technical delivery experience (backlog prioritization, sprint planning, release execution).
- Hands-on experience as a lead data scientist/AI-ML engineer/data engineer/solution architect delivering production solutions.
- Strong ML foundations (statistics, model validation, evaluation).
- Hands-on Generative AI (prompt engineering, LLM evaluation).
- Experience with multi-model agentic AI (routing/selection, tool routing, evaluations/benchmarks, observability).
- Practical MLOps/LLMOps for production operations (monitoring, lifecycle management).
- Cloud/data platforms experience (AWS, Databricks) and Python-based tooling.
- Stakeholder leadership; influence without authority; clear cross-functional communication.
- Product-centric mindset; effective 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.
Benefits (explicitly stated)
- Company-sponsored medical, dental, vision, and life insurance plans; paid time off.
Application Instructions (as stated)
- Please apply via the Internal Career Opportunities portal in Workday.
Key Responsibilities
- Own end-to-end delivery of US Commercial Digital Marketing AI solutions from ideation through production (timeline, technical quality, release readiness).
- Apply a product-centric approach with roadmaps and user adoption metrics for each AI capability.
- Oversee development of scalable solutions using AWS, 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 patterns) with quantitative/qualitative evaluation before scaling.
- Design AI assistants and agent workflows to improve speed, quality, and consistency of insights/recommendations.
- Design and deliver agentic AI solutions (multi-agent orchestration, intelligent request routing) with evaluation and guardrails.
- Establish measurement frameworks using KPIs and experimentation methods.
- Build reusable AI components (templates, evaluation approaches, shared patterns) to accelerate future delivery.
- Partner with engineering to align to MLOps/LLMOps for deployment, monitoring, lifecycle updates, and controlled releases.
- Embed responsible AI, privacy, and compliance with legal/privacy/ethics teams.
- Manage vendor relationships and co-sourced partners.
- Communicate AI progress, outcomes, limitations, risks; translate between technical and non-technical stakeholders.
Key Skills & Experiences / Qualifications
- Bachelor’s degree with 10+ years, or Master’s with 8+ years, or PhD with 2+ years delivering AI solutions.
- Significant Agile technical delivery experience (backlog prioritization, sprint planning, release execution).
- Hands-on experience as a lead data scientist/AI-ML engineer/data engineer/solution architect delivering production solutions.
- Strong ML foundations (statistics, model validation, evaluation).
- Hands-on Generative AI (prompt engineering, LLM evaluation).
- Experience with multi-model agentic AI (routing/selection, tool routing, evaluations/benchmarks, observability).
- Practical MLOps/LLMOps for production operations (monitoring, lifecycle management).
- Cloud/data platforms experience (AWS, Databricks) and Python-based tooling.
- Stakeholder leadership; influence without authority; clear cross-functional communication.
- Product-centric mindset; effective 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.
Benefits (explicitly stated)
- Company-sponsored medical, dental, vision, and life insurance plans; paid time off.
Application Instructions (as stated)
- Please apply via the Internal Career Opportunities portal in Workday.