Practice Lead

4 weeks ago

India Tezo Full time

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 Lead – Data Science 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.

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