Senior Associate, Innovation

Sr. Associate, Innovation & AI Automation

Job Description: Sr. Associate – Innovation & Automation

Location: Hyderabad, India

Department: Global Customer Capabilities – Innovation & Tech Workforce

The mission of the Innovation & Tech Workforce group is to empower Amgen brands with centralized, technology-driven capabilities. on execution, analysis, and delivery.

About the role:

As a Senior Associate on the Innovation & Tech Workforce team, you will support a cross-functional team of AI Automation Leads to help understand and document business requirements, and support the delivery of solutions that transform customer capabilities. In this role, you'll be responsible for supporting the creation of high-impact, cost-effective solutions that accelerates the deployment of next-generation global operations - from process enhancements to intelligent customer experiences. You'll play a key role in bridging innovation with execution, ensuring alignment with internal expectations, operational efficiency across the enterprise.

This high-impact role is central to shaping our digital global customer capabilities, enhancing operational efficiency, and delivering seamless, scalable, and user-friendly solutions.

Key Responsibilities:

• Analyze customer behavior, industry benchmarks, and technology adoption to inform marketing playbooks and innovation roadmaps

• Help drive Innovation & Automation by documenting requirements to design and implementation of AI-powered solutions, including GenAI and Agentic frameworks, with a focus on automation, personalization, and data-driven decision-making

• Partner cross-functionally to documenting insights and helping identify emerging technologies that can be created into scalable capabilities

• Support the delivery of emerging capabilities by orchestrating delivery of capabilities by following Agile practices.

Cross-Functional Collaboration

• Collaborate closely with Cross-Channel Engagement Leads, Global Customer Capabilities (GCC), and Technology stakeholders on initiatives impacting internal GCC processes and operations and net-new marketing AI capabilities.

• Partner effectively with DTI to drive client satisfaction and capability enhancements.

• Enhance client satisfaction by proactively identifying issues, escalating urgent needs, and effectively communicating to partners

Qualifications & Skills:

Skills:

• Ability to contextualize emerging technologies within broader business goals; skilled in scenario planning and long-term capability building

• Able to clearly articulate future-state visions and influence diverse stakeholders across technical and commercial domains

• AI Literacy of GenAI, LLMs, and familiar with agentic frameworks (e.g., building and integrating intelligent agents into marketing ecosystems)

• Significant prompting experience and knowledge on how to generate desired outputs from LLMs

• Industry Awareness with how leading organizations are shaping their future marketing functions and technology investments

• Skilled at documenting and synthesizing disparate requirement to guide the creation of AI solutions that solve problems through innovative, non-traditional approaches

• Experience delivering solutions with the Agile framework

Basic Qualifications:

• Bachelor's degree in business, Life Sciences, Marketing, Communications, or related field with 4 years of project management or client-facing experience, preferably in pharmaceutical marketing agency services or global content production operations.

• Project management and organizational abilities.

• Technical knowledge of LLMs and supporting technologies

• Excellent oral and written communication skills.

• Comfortable engaging and presenting to both technical and business stakeholders;

• Active and empathetic listener who excels at establishing and building relationships across large, cross-functional teams

Preferred Experience:

• Experience in the pharmaceutical or healthcare sector.

• Familiarity or expertise with Agentic frameworks, AI Agents, Foundational Models (LLMs), RAG architecture, AWS Cloud Infrastructure, Databricks, Salesforce Data and Marketing Cloud, and Tableau