Responsibilities:
- Strategic Growth & P&L: 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.
- Deep Data & AI Expertise: 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.
- Innovation & Emerging Tech: 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.
- Partnership Development: 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.
- Delivery Excellence: 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.
- Team Leadership: 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.
Qualifications:
- 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, Big Query), ETL/ELT, and data Quality and governance.
- Excellent leadership, communication, and interpersonal skills.
- Strong analytical, problem-solving, and strategic thinking.
- Bachelor's or master’s in computer science, Engineering, or related field. MBA is a plus.
