Senior Consumer Excellence Consultant - AI & Software Engineering Lead

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Location: LCCI Bangalore
Department: Consumer Experience / Digital Transformation
Reports to: Head of Customer Experience or Digital Excellence Lead
Employment Type: Full-time
 

Role Overview

We are seeking an exceptional Senior Consumer Excellence Consultant to serve as a strategic technical leader who will architect, implement, and optimize AI-driven consumer experience solutions. This role demands a unique combination of deep technical expertise in AI/ML and software engineering, coupled with strategic business acumen to drive transformational initiatives. The successful candidate will influence organizational technology strategy, lead complex technical implementations, and establish the technical foundation for next-generation consumer experiences.

Strategic Responsibilities

Technical Leadership & Architecture

• Define Technical Vision: Establish and communicate the long-term technical strategy for AI-enabled consumer experience platforms.
• Solution Architecture: Design scalable, cloud-native architectures for consumer-facing AI applications, ensuring high availability, security, and performance
• Technology Evaluation: Lead comprehensive assessment of emerging AI/ML technologies, frameworks, and platforms to maintain competitive advantage
• Technical Governance: Establish technical standards, best practices, and architectural principles for AI implementations across the organization

Advanced AI & Machine Learning Implementation

• Custom AI Development: Architect and develop sophisticated AI solutions including:
  • Advanced NLP models for conversational AI and sentiment analysis
  • Computer vision systems for visual product recommendations
  • Predictive analytics models for customer behaviour forecasting
  • Real-time personalization engines using deep learning
• Model Performance Optimization: Implement A/B testing frameworks for AI models, ensuring continuous improvement and bias detection
• AI Ethics & Governance: Establish frameworks for responsible AI implementation, including fairness, transparency, and explainability standards

Software Engineering Excellence

• Full-Stack Development: Lead development of consumer-facing applications using modern frameworks (React/Angular, Node.js, Python/Django, microservices architecture)
• API Design & Integration: Design and implement RESTful APIs and GraphQL services for seamless system integration
• Cloud Infrastructure: Architect and manage cloud-based solutions on AWS/Azure/GCP, including serverless computing and container orchestration
• DevOps Implementation: Establish CI/CD pipelines, automated testing frameworks, and infrastructure-as-code practices

Strategic Business Impact

• Digital Transformation Leadership: Drive organizational transformation initiatives, influencing business strategy through technical innovation
• Cross-Functional Collaboration: Partner with executive leadership, product management, and business stakeholders to align technical solutions with business objectives
• ROI Optimization: Develop and track advanced metrics demonstrating business impact of AI investments, including customer lifetime value improvement and operational efficiency gains
• Innovation Catalyst: Identify and prototype emerging technologies that could revolutionize consumer experience delivery

Enhanced Qualifications & Skills

Required Technical Expertise

• Educational Foundation: Master's degree in Computer Science, AI/ML, Software Engineering, or related technical field;
• Technical Experience: 12+ years of progressive technical experience with at least 7+ years in senior technical roles
• AI/ML Mastery: Deep expertise in:
  • Machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Deep learning architectures (CNNs, RNNs, Transformers, GANs)
  • Natural Language Processing (BERT, GPT, spaCy, NLTK)
  • Computer vision and image processing
  • Reinforcement learning and recommendation systems
• Software Engineering Proficiency: Expert-level skills in:
  • Multiple programming languages (Python, Java, JavaScript, Go, Scala)
  • Modern software architecture patterns (microservices, event-driven, hexagonal)
  • Database technologies (SQL, NoSQL, graph databases, vector databases)
  • Cloud platforms and services (AWS/Azure/GCP)
  • Container technologies (Docker, Kubernetes)

Advanced Technical Capabilities

• Data Engineering: Expertise in big data technologies (Spark, Kafka, Airflow) and real-time data processing
• Performance Engineering: Proven ability to optimize system performance, scalability, and reliability at enterprise scale
• Technical Leadership: Experience leading technical teams, mentoring engineers, and driving technical decision-making

Strategic Business Acumen

• Digital Strategy: Proven track record of influencing business strategy through technical innovation
• Stakeholder Management: Executive-level communication skills with ability to translate complex technical concepts to business stakeholders
• Change Management: Experience leading organizational transformation initiatives and technology adoption programs
• Financial Acumen: Understanding of technology investment ROI, budgeting, and financial modelling for technical initiatives

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 does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

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