Description
We are seeking an Engagement Lead | Associate Director, IT to oversee the delivery of AI and ML-based initiatives end-to-end.
Responsibilities:
- Deliver and implement IQVIA's AI and ML-based initiatives end-to-end.
- Collaborate with Product Management to establish a strong understanding of product strategy and roadmap, contributing to the roadmap from a technology enablement perspective.
- Provide technology leadership to the engineering team, ensuring products are built according to defined specifications and industry best practices.
- Work with the product owner, scrum masters, and scrum team to plan releases and sprints, and provide team commitments.
- Act as a technology subject matter expert, educating internal and external users about product capabilities and best practices.
- Ensure products are built in a modular, configurable, and service-based implementation model.
- Oversee design, engineering, testing, and product release, making feature release decisions and resolving post-release issues as needed.
- Collect and analyze product KPIs.
- Develop a product monitoring and hypercare support model with the Support team.
- Plan future incremental releases, new minimum viable products, and manage global rollouts with the Product Manager.
- Ensure adherence to SDLC and project governance models.
- Identify required skill sets for project implementation and liaise with Resource Management to obtain necessary resources.
- Manage delivery-related escalations and preserve product/business-line specific domain knowledge.
- Provide functional people management for a team of domain-aligned roles.
- Report project performance to relevant stakeholders.
Required Knowledge, Skills, and Abilities:
- Hands-on experience with software development practices and system architecture.
- Strong application development background and microservices architecture experience.
- Exposure to AI technologies such as ML, NLP, and OCR.
- Knowledge of GITLAB, JIRA, Kubernetes, and Docker.
- Experience with cloud hosting (Azure or AWS).
- Deep understanding of Software Development Life Cycle and Agile Principles.
- In-depth knowledge of Software Engineering principles.
- Experience running large delivery projects in a global industrialized software delivery environment.
- Clinical domain experience.
- Excellent communication and interpersonal skills.
- Strong leadership skills with the ability to lead a virtual team.
- Innovative and strategic thinking capability.
- Excellent negotiation and influencing skills.
- Ability to establish and maintain effective working relationships.
- Ability to learn quickly and adapt to new environments.
- Good problem-solving skills.
- Sensitivity to different cultures and ability to work globally.
Physical Requirements:
- Extensive use of keyboard and mouse.
- Regular sitting for extended periods.
- Frequent use of telephone, virtual meetings, and face-to-face communication.