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
Skills Required
Ml, Data Quality, Big Data Analytics, Data Security, Agile Methodologies, Data Governance, Ai, data engineering