Associate Director - AI & Unstructured Data (Hybrid)

Job Description

Our Information Technology organization partners with colleagues across the business to help serve our patients and customers around the world. We are a high-energy team of dynamic, innovative individuals dedicated to advancing our contribution to global medical innovation by leveraging information and technology to efficiently advance the business by driving revenue and productivity.

We invite you to be part of the Central Data & Analytics team within the Chief Technology Office as an AI & Unstructured Data Lead, Consumption & Insights. If you're passionate about search, exploration, and AI-powered analytics, this role provides a thrilling opportunity to take our platforms to new heights of success and apply the most advanced GenAI to real-world analytics.

As part of the Consumption & Insights team, your work will create a seamless experience for analytics experts to unlock the potential of data and interactive analytics across the enterprise. You'll play a crucial part in enabling the discovery, exploration, and extraction of insights from unstructured data across the company, fostering efficiency and reducing fragmentation.

Key Responsibilities 

• Shape the overall strategy for Consumption & Insights, particularly in the areas of unstructured data, search augmented analytics and generative AI 

• Collaborate with product managers to shape the product visions and drive adoption and engagement 

• Engage with various business and technology stakeholders to gather product feedback, identify capability gaps, and explore new opportunities for capabilities and products 

• Innovate in the area of AI-Powered Data and Analytics to create a seamless experience with both structured and unstructured data 

• Partner with key technology and service providers to ensure their products, roadmaps, and strategies meet our company’s needs 

• Drive alignment with business stakeholders, architects, and other product teams

• Discover and implement ways to improve reliability, efficiency, and quality across all phases of the development and operations lifecycle 

• Foster a close relationship with your divisional counterparts 

• Iterates, validates, and communications clear vision, strategy, priorities, and timelines with all stakeholders

• Leads cross-functional strategic initiatives and drive execution to realize business outcomes

• Drives, monitors, and manages ongoing prioritization of strategic initiatives, backed by data-driven analysis

• Builds and shares thought leadership to internal and external customers, as well as industry channels

• Promotes team integration, cross-functional collaboration, and communication

• Identifies solutions to simplify and improve efficiency in ways of working

• Partner with key stakeholders to deliver enterprise-wide, innovative, and/or transformative programs

• Assess current capabilities against capabilities required to realize overall strategy

• Includes specializations such as Digital Technology & Innovation (not exhaustive)

• Includes roles such as Business Analytics Engagement Lead and Data Asset Strategist (not exhaustive)

Education:

• Bachelor's degree in computer science, engineering, or a related field. A master's degree is preferred but not required.

Required Skills and Experience:

• 8-10 years of experience in software engineering or data science 

• 2-5 years of experience as a software engineering manager 

• Strategic thinking, architecture, and thought leadership skills 

• Demonstrated understanding of enterprise architecture principles 

• Experience with unstructured data and GenAI 

• Familiarity with either AWS cloud ecosystem or Azure Cloud ecosystem from a data engineering/analytics perspective 

• Experience with self-service analytics, API and Integrations 

• Excellent communication and presentation skills 

• Experience with DevOps and Agile practices 

• Demonstrated ability to coordinate teams and activities in a complex international environment 

• Understanding of Generative AI, Retrieval-Augmented Generation, and document intelligence 

• Proven track record of delivering projects on time and within budget 

• Familiarity with Release Management, Problem and Incident Management, and Software Development Life Cycle best practices 

• Demonstrate strong leadership on managing stakeholder Relationships

• Bring Data Consumption & Insights Thou