Practice Director - Data Engineering (AI/ML)

Job Description The Practice Director (PD) will be responsible for leading a diverse team of high performing employees and consultants, including architects, data scientists, data engineers, and business analysts. The PD will oversee the full solution lifecycle execution client and internal company projects, will support business development, and will mentor and lead the technical staff. The PD will oversee the work of solution-delivery project teams, relying on their extensive experience and judgment to plan and accomplish team goals. Responsibilities: Provide thought leadership for the practice, both within the company and in client-facing engagements. Work with the business development team as a Subject Matter Expert to identify, clarify, plan and win business opportunities with current and new clients. Establish and disseminate processes and practices to ensure consistent delivery of high-quality solutions to our clients. Maintain a strong command of current technology trends, including emerging paradigms, languages, and practices. Work with product partners in delivery Develop quality assurance and control policies and procedures. Direct and monitor large/complex data science and engineering business programs. Develop and execute strategic plans for company and client programs and projects. Report to senior management regularly and maintain effective and consistent communication and tracking of all assigned programs and projects. Lead and coach a team of technical staff, working in a global delivery model. Hire team members, plan, assign, and direct work. Appraise team performance, address complaints and resolve problems. Critical Competencies: Expertise in data management, data engineering, analytics, AI/ML. Strong, broad technical skills with experience in a variety of technical roles. Team leadership in onshore/offshore global delivery environment. Excellent written and verbal communication skills. Ability to build strong collaborative relationships with peers, client stakeholders and senior company leadership. Strong command of cloud development and infrastructure practices. Experience in Telecom is not required but is considered a big plus. Requirements: Bachelor's degree or advanced degree in Computer Science or a related field of study. 10+ years of large scale complex commercial data engineering / data science experience, 3+ years in management. Regards, Naresh,