Technical Manager, Data Engineering ( AI / Pyspark / BigData)

Technical Manager, Data Engineering ( AI / Pyspark / BigData)

Job Overview
Manages a team of professional-level employees.
Develops and communicates plans and priorities to meet team performance and results requirements.

Essential Functions
• Manages a team of professional-level employees.
• Develops and communicates plans and priorities to meet team performance and results requirements.
• Establishes team processes, goals, and procedures and tracks performance.
• Informs and influences decision-making at the management level.
• Provides coaching and guidance on job performance and career development to direct reports.

Qualifications
• Bachelor's Degree Computer Engineering, Computer Science or related field Req
• 10-12 years+ experience in software development
• Key Responsibilities

AI, Data Engineering & Technology Leadership -
Key Responsibilities
-Lead the strategy, architecture, and delivery of AI/Generative AI solutions to automate complex business processes.
-Design and implement AI assistants, intelligent agents, RAG-based solutions, and conversational AI platforms.
-Drive AI adoption and continuous improvement through feedback loops, model optimization, and user-centric enhancements.
-Architect scalable cloud-based data platforms leveraging modern analytics and big data technologies.
-Lead ETL/ELT, data integration, transformation, reporting, and enterprise data management solutions.
-Establish data quality, validation, testing, and reconciliation frameworks to ensure trusted business insights.
-Oversee end-to-end software development lifecycle activities, from requirements and architecture through deployment and support.
-Develop reusable frameworks, accelerators, and automation assets to improve delivery efficiency and operational excellence.
-Champion technology modernization through cloud-native architectures, microservices, and automation-driven solutions.
-Lead and mentor global engineering and analytics teams while managing delivery, stakeholder engagement, talent development, and technology outcomes aligned to business KPIs.
-Lead executive presentations, solution demonstrations, and business reviews.

Required Skills & Expertise

Technical Skills

Hadoop / Cloudera Ecosystem , Data Warehousing , SQL, Python (must Have)

Artificial Intelligence (AI) & Generative AI (good to have)

Retrieval-Augmented Generation (RAG)

Multi-Agent Architectures

Prompt Engineering

Machine Learning & NLP

Azure AI Services

Azure Cloud & AWS Cloud



ETL/ELT Technologies

API & Microservices Architecture

Software Engineering Best Practices

Database Design & Optimization

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

Experience Level

Mid Level