Assoc Dir, Machine Learning at IQVIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, PharmaceuticalsIndustries

Requirements

Hands on experience on the software development practice with larger exposure to system architecture
Strong Application development background and microservices architecture
Exposure to one or more of the AI technologies such as ML, NLP and OCR and strong end to end delivery background
Require knowledge of GITLAB, JIRA, Kubernetees, Dockers
Exposure to cloud hosting such as AZURE or AWS is added advantage
Deep knowledge of Software Development Life Cycle & Agile Principles
In-depth understanding of Software Engineering principles
Hands-on experience of running large delivery projects in a global industrialized software delivery environment (Agile and SAFe) is good to have
Experience with Clinical domain
Excellent communication and interpersonal skills, including good command of English language
Strong leadership skills with proven ability to lead a virtual team in a matrix structure
Innovative and strategic thinking capability
Excellent negotiation and influencing skills
Ability to establish and maintain effective working relationships with coworkers, managers and stakeholders
Ability to learn quickly and adapt to new environments
Good problem-solving skills
Being sensitive to different cultures and ability to work globally
Extensive use of keyboard and mouse requiring repetitive motion of fingers and wrists
Regular sitting for extended periods of time

Responsibilities

Delivery accountability and implementation ownership of IQVIA’s AI ML based initiatives end to end
Establish a strong understanding of product strategy and roadmap in working with Product management lead and contribute to roadmap from technology enable capabilities standpoint
Responsible for providing technology leadership to engineering team to ensure product gets built based on defined specifications and industry best practices in a timely manner
Work with product owner, scrum masters and the scrum team do release and sprint planning and provide team commitments accordingly
Act as a technology SME and educate internal and in many cases external users about product capabilities, best practices in technology and software engineering management
Responsible to ensure product is built in a modular, configurable and in a service based implementation model
Accountable for solution oversight on the project covering functional as well as non-functional requirements of the project
Oversee design, engineering, testing and product release. Provide technology leadership in terms of making a feature release decision and provide hands on leadership to resolve post release issues as needed
Ownership of collecting and help analyzing product KPIs
Work with Support team to put right product monitoring and hypercare + support model
Work with Product manager to plan future incremental releases, new minimum viable products and manage global roll out of product features
Accountable for adherence to all SDLC and project governance mode followed within RDS IT wrt project scoping, feasibility, estimation, change control, gate reviews and delivery of the final release
Accountable for identifying skill sets needed for project implementation in collaboration with the demand function
Accountable for liaising with the resource management team to obtain resources with the requisite skill sets for project implementation
Accountable for managing any delivery related escalations
Accountable for preservation and enhancement of product/business-line specific domain knowledge
Responsible for functional people management of a team of domain aligned roles like Delivery Project Managers, Architects, System/Data Analysts, Developers and Testers
Accountable for project performance reporting – status, change/s, metrics, risk, issues and dependency management to relevant stakeholders

Skills

Machine Learning

Scrum

Agile

SDLC

Software Engineering

Product Roadmap

Project Governance

Release Management

Service-Based Architecture

IQVIA

Advanced analytics and clinical research services

About IQVIA

IQVIA provides advanced analytics, technology solutions, and clinical research services specifically for the life sciences industry. Their services utilize extensive data resources and technology to create connections within healthcare, allowing clients to gain insights that help speed up the development and marketing of new medical treatments. This process is facilitated by their IQVIA Connected Intelligence™ system, which offers quick and flexible insights. IQVIA stands out from competitors by focusing on patient privacy, employing various technologies to protect individual data. The company's goal is to enhance healthcare outcomes by supporting biotech, pharmaceutical, and medical device companies, as well as researchers and government agencies, in understanding diseases and advancing medical science.

Durham, North CarolinaHeadquarters

1998Year Founded

$3,526MTotal Funding

POST_IPO_EQUITYCompany Stage

Cybersecurity, Biotechnology, HealthcareIndustries

10,001+Employees

Risks

Rapid advancement of cancer vaccines may disrupt traditional clinical research models.

Proliferation of disparate technological solutions causes technology overload in clinical trials.

Generative AI technologies face challenges in adoption due to data privacy concerns.

Differentiation

IQVIA leverages advanced analytics and big data for life sciences solutions.

The company offers privacy-enhancing technologies to protect individual patient data.

IQVIA's AI Assistant provides rapid, actionable insights for healthcare and life sciences.

Upsides

Increased adoption of decentralized clinical trials enhances patient-centric study designs.

AI-driven drug discovery accelerates identification of potential drug candidates.

Expansion of telemedicine facilitates remote patient monitoring and data collection.

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