We're hiring a Data engineering Practice Leader to drive our data and AI initiatives. This senior role demands over 20 years of deep data engineering expertise and a clear focus on revenue recognition and profitability management. You'll need proven skills in partnership development and direct accountability for practice build and delivery.

Key Responsibilities :

- Define and execute the Data & AI practice strategy, identifying new market opportunities and expanding capabilities

- Lead business development, including pre-sales and solutioning

- Manage practice P&L, focusing on revenue recognition and profitability

- Provide expert guidance in data engineering (architecture, warehousing, ETL/ELT, data lakes, pipelines, governance)

- Stay current with AI/ML, big data, and cloud platforms (AWS, Azure, GCP)

- Oversee the design and implementation of scalable, secure data solutions

- Actively explore and champion cutting-edge data and AI, especially Agentic AI-based automation

- Drive R&D to integrate new technologies and foster an innovation culture

- Establish and nurture strategic partnerships with vendors and industry groups

- Collaborate on joint solutions and go-to-market strategies

- Represent the company at industry events

- Accountable for the successful delivery of all Data & AI projects, ensuring on-time, on-budget, high-quality execution

- Implement robust project management and continuously improve delivery processes

- Build, mentor, and lead a high-performing team of data engineers, data scientists, and AI specialists

- Foster a culture of learning and collaboration, implementing effective performance management

Must have skills :

- 20+ years in data engineering, significant time in leadership

- Proven experience designing and managing large-scale modern architecture data platforms

- Strong grasp of AI/ML concepts and business applications

- Track record of managing revenue recognition and profitability

- Exceptional skills in developing and managing strategic partnerships

- Extensive experience with cloud data platforms (AWS, Azure, GCP)

- Demonstrated interest and exposure to emerging AI, including Agentic AI and advanced automation

- Proficiency in Spark, Databricks, databases (SQL, NoSQL), data warehousing (Snowflake, Redshift, BigQuery), ETL/ELT, and data Quality and governance

- Excellent leadership, communication, and interpersonal skills

- Strong analytical, problem-solving, and strategic thinking

The job is for:

Women candidates preferred