- Posted a month ago
- Be among the first 10 applicants
Job Description
The Data Practice Head (Generative AI)will be responsible for defining, developing, and driving the data strategy for the organization. This includes overseeing data-related services, leading a team of data professionals, engaging with clients, and ensuring the successful delivery of high-quality data solutions. The role demands strategic vision, technical expertise, and strong leadership to position the company as a leader in data and analytics services.
Key Responsibilities:
• Develop and implement the company's data practice strategy, focusing on big data analytics, AI/ML, and data governance.
• Monitor industry trends and innovations to maintain competitive positioning in the data domain. • Build and expand the service portfolio to address emerging client needs and market opportunities.
• Lead, mentor, and grow a team of data engineers, scientists, analysts, and other data professionals.
• Define competency development plans and ensure continuous skill enhancement within the team.
• Oversee workforce planning, recruitment, and resource allocation to meet project demands. • Collaborate with sales and presales teams to design and present data solutions to prospective clients.
• Ensure the timely and successful delivery of projects, maintaining alignment with client expectations.
• Provide architectural guidance and technical oversight for large-scale data platforms and analytical solutions.
• Advocate for adopting advanced tools, frameworks, and methodologies in data engineering and analytics.
• Establish and enforce best practices for data quality, security, and compliance. Drive revenue growth by identifying new business opportunities and expanding existing client engagements.
• Establish strategic partnerships with technology vendors and data platform providers.
• Develop and enforce policies for data security, privacy, and compliance with regulatory standards (e.g., GDPR, HIPAA). • Proactively manage risks associated with data management and analytics projects. • Drive research and development in emerging data technologies and pilot innovative solutions. • Represent the organization as a thought leader through whitepapers, conference participation, and industry forums.
• Requirements:
• Bachelor's Degree in engineering with 15+ years of experience in delivering data solutions using Agile Methodologies
• Proven relevant experience as a delivery head or practice head building Data engineering capabilities and services
• Prior experience of playing a leadership role in Data transformation programs
• Experience working with a matrix organization of sales, delivery and marketing teams across the globe • Experience in working on proposals, presales activities and business


