Associate Director - Technical Capabilities Lead

Lilly; Indianapolis (IN); On-site; USD 129,000 - 189,000; Full time

Benefits offered by this job

401(k) plan

Pension

Vacation benefits

Medical benefits

Job summary

Lilly in Indianapolis seeks a technical leader to own AI-driven detection solutions for Adverse Event and Product Complaint identification. You will bridge AI/ML expertise with cross-functional stakeholder engagement, including senior leadership, to deliver high-impact, compliant solutions.

You'll supervise model performance, automation, and integration with case management systems, while ensuring regulatory defensibility and auditability across global initiatives.

Qualifications

• Bachelor's degree required.
• 5+ years in AI/ML solution delivery, technical program leadership, or product management.
• Experience in cross-functional stakeholder management and communicating to senior leadership.

Responsibilities

• Serve as the primary technical authority for the AI detection solution and architecture.
• Oversee AE/PC detection service performance against SLAs and KPIs.
• Maintain capability backlog and partner with the business owner for PI planning.
• Drive model improvements, retraining cycles, and data curation processes.
• Engage with senior leadership to present performance, risks, and roadmap.

Skills

AI/ML solution delivery

Technical leadership

Stakeholder management

NLP

MLOps

REST APIs

CI/CD

Education

Bachelor's degree

Tools

NLP frameworks

REST APIs

CI/CD

Job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

Role Summary

This role will own the technical direction, Service operations, stakeholder alignment and innovation for AI-driven detection solutions supporting Adverse Event (AE) and Product Complaint identification. This role bridges deep technical fluency in AI/ML systems (NLP, LLMs, model evaluation, and MLOps) with the ability to navigate complex, cross-functional stakeholder environments — including regular engagement with senior leadership.

Key Responsibilities

Capability Technical Leadership

• Serve as the primary technical authority for the AI detection solution, guiding model selection, solution architecture and integration design, and automation strategy

• Oversee the operations of the vendor owned AE/PC detection solution, including ensuring service performance meets contracted SLAs and KPIs (e.g., precision, recall, latency, availability)

• Maintain the capability backlog and partner with the business owner to prioritize implementation of new features through the PI planning process

• Be accountable for the delivery of the capability features required to support the global initiatives that use the AE/PC detection service

• Evaluate and oversee the performance (precision, recall, false positive/negative rates), drift, and reliability of AI/ML models used to detect adverse events and product complaints from various data sources (call transcripts, emails, social media, structured/unstructured text)

• Partner with data science and engineering teams to drive model improvements, retraining and fine-tuning cycles, labeled-data and ground-truth curation, and validation processes

• Assess emerging AI capabilities (e.g., LLMs, retrieval-augmented generation, prompt engineering, NLP techniques) for applicability to detection accuracy, scalability, and compliance

• Ensure solution architecture supports auditability, traceability, and regulatory defensibility (e.g., model versioning, data lineage, audit logging) given the safety-critical nature of AE/complaint detection

Automation & Process Ownership

• Identify opportunities to automate manual triage, classification, and escalation workflows, including confidence-threshold routing and risk-based human-in-the-loop review

• Define technical requirements (APIs, data schemas, and message flows) for automation pipelines and ensure seamless integration with case management and safety databases

• Partner with teams owning solutions consuming the AE/PC detection services to implement the necessary components to build integration pipelines

• Monitor automation performance metrics (e.g., throughput, straight-through processing rate, error rates) and drive continuous improvement

• Manage the contracted team responsible for monitoring AE/PC detection service

Stakeholder Management & Communication

• Act as the key liaison between technical teams, business owners, Pharmacovigilance/Quality functions, IT, and Compliance

• Translate complex technical concepts into clear, business-relevant language for non-technical audiences

• Prepare and deliver presentations to senior leadership on solution performance, risks, roadmap, and value delivered

• Manage competing priorities and expectations across multiple stakeholder groups with differing technical fluency and objectives

• Build trust and consensus among stakeholders with varying interests, including Regulatory, Legal, and Quality Assurance

Governance & Compliance

• Ensure the AI solution adheres to relevant global regulatory requirements (e.g., FDA, EMA) for pharmacovigilance and complaint handling systems

• Support audit readiness and documentation

• Collaborate with Quality and Regulatory teams to ensure detection thresholds and escalation logic meet compliance standards

Basic Qualifications:

• Bachelor's degree

• 5+ years of experience in AI/ML solution delivery, technical program leadership, or product management

Preferences:

Technical Expertise

• Strong working knowledge of AI/ML model types (NLP, transformer-based and classification models, LLMs) and their practical application in text/data classification and entity-extraction use cases

• Experience with automation frameworks, workflow orchestration, and MLOps practices (model versioning, CI/CD, monitoring, and drift detection)

• Familiarity with model performance evaluation (precision, recall, false positive/negative rates) in high-stakes/regulated contexts

• Understanding of data pipelines (ETL/ELT), integration patterns (REST APIs, messaging, and batch interfaces), and enterprise system architecture

• Exposure to responsible AI principles, model risk management, or AI governance frameworks is a plus

Communication & Stakeholder Management

• Demonstrated ability to manage complex, multi-functional stakeholder relationships

• Excellent verbal and written communication skills, with proven experience presenting to senior leadership/executives

• Ability to translate technical detail into business impact and risk framing

• Strong facilitation and negotiation skills to align diverse stakeholder priorities

Domain Knowledge (preferred, not required)

• Familiarity with pharmacovigilance, adverse event reporting, or product complaint handling processes

• Understanding of regulatory expectations for safety data systems in the pharmaceutical/life sciences industry

Additional Information:

Lilly may provide support for or sponsor work authorization or visas for this role for internal applicants only.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL).

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is

$129,000 - $189,200

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).

• including eligibility to participate in a company-sponsored 401(k);
• pension;
• vacation benefits;
• eligibility for medical, dental, vision and prescription drug benefits;
• flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts);
• life insurance and death benefits;
• certain time off and leave of absence benefits;
• and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).

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