Practice Head - Data Science

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.

We are seeking a highly experienced and dynamic Practice Head – Data Science & AI to lead our data practice in Hyderabad. This role is ideal for a technology leader with a strong foundation in Data Science, Artificial Intelligence (AI), and Machine Learning (ML), along with proven experience in building and scaling data practices. The ideal candidate will also have a strong business acumen with experience in solution selling and pre-sales.

Key Responsibilities:

• Leadership & Strategy:
• Define and drive the strategic vision for the Data Science and AI practice.
• Build, lead, and mentor a high-performing team of data scientists, ML engineers, and AI experts.
• Collaborate with cross-functional teams to integrate data-driven solutions into broader business strategies.
• Technical Expertise:
• Lead the design and delivery of advanced AI/ML solutions across various domains.
• Stay abreast of industry trends, emerging technologies, and best practices in AI, ML, and data science.
• Provide technical guidance and hands-on support as needed for key initiatives.
• Practice Development:
• Establish frameworks, methodologies, and best practices to scale the data science practice.
• Define and implement reusable components, accelerators, and IPs for efficient solution delivery.
• Client Engagement & Pre-Sales:
• Support business development by working closely with sales teams in identifying opportunities, creating proposals, and delivering presentations.
• Engage in solution selling by understanding client needs and proposing tailored AI/ML-based solutions.
• Build strong relationships with clients and act as a trusted advisor on their data journey.

Required Skills & Experience:

• 12+ years of overall experience with at least 5+ years in leading data science/AI teams.
• Proven experience in setting up or leading a data science or AI practice.
• Strong hands-on technical background in AI, ML, NLP, predictive analytics, and data engineering.
• Experience with tools and platforms like Python, R, TensorFlow, PyTorch, Azure ML, AWS SageMaker, etc.
• Strong understanding of data strategy, governance, and architecture.
• Demonstrated success in solutioning and pre-sales engagements.
• Excellent communication, leadership, and stakeholder management skills.