Job Overview

We are seeking a highly skilled and motivated Tech Lead to lead the design, development, and delivery of data-driven solutions aligned with organizational goals. This hybrid role combines technical leadership and people management, requiring expertise in Database technologies, Python, and AI/ML concepts.

The role involves managing end-to-end project delivery and ensuring alignment with business strategy while fostering innovation in data and AI initiatives.

Key Responsibilities

Lead and deliver multiple concurrent data and AI-driven projects within scope, schedule, and budget.

Own the full project lifecycle: initiation, planning, execution, monitoring, and closure.

Serve as the single point of contact for assigned projects, ensuring clear communication with stakeholders.

Drive Agile methodologies to enhance delivery efficiency and adaptability.

Manage and mitigate risks, dependencies, and issues, ensuring timely resolution.

Provide hands-on technical leadership and people management

Guide architecture decisions and ensure alignment with enterprise data strategy.

Drive adoption of AI/ML solutions to support business goals (predictive analytics, automation, analytics use cases).

Ensure best practices in code quality, data governance, performance tuning, and security.

Identify opportunities to leverage AI/ML technologies to improve business processes and decision-making.

Lead, mentor, and manage a team of data engineers, developers, and analysts.

Perform performance management, coaching, and career development of team members.

Allocate resources effectively across projects in a matrix environment.

Foster a culture of collaboration, innovation, and accountability.

Qualification

Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience).

Technical Skillsets:

10+ years of Strong expertise in:

Database technologies (Snowflake preferred); Database design, development, and optimization

Python programming

Data engineering, Data pipelines, ETL/ELT frameworks, and data modeling

Python-based data engineering and automation solutions

Experience in ETL development using PowerCenter, Data Stage, AWS preferred or any other ETL tool

Strong capabilities in SQL development on any of the large-scale data platforms: Snowflake, Databricks, Redshift, SQL Server, etc.

Understanding of SQL table structure and DDL – primary & foreign keys, required columns, naming and data typing standards - and why they are important.

General understanding of Data Warehousing technology, ETL processes – facts, dimensions, star and snowflake schemas, data warehouse schema layers, SCD

Exposure to AI/ML concepts and implementations in business contexts.

Other Requirements:

Proven experience in Agile delivery methodologies (Scrum/Kanban).

Experience managing distributed teams (onshore/offshore model).

Strong understanding of business-to-technology translation.

Strong leadership and people management skills

Excellent communication and stakeholder management

Ability to balance technical depth with strategic thinking

Proactive, self-driven, and solution-oriented mindset

Strong analytical and problem-solving skills

Innovation-driven with focus on continuous improvement

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.