Data Practice Lead

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. Provectus is seeking a Data Practice Lead to drive the growth and leadership of our Data practice. This is a key leadership role responsible for managing a team of 25–30 data professionals and shaping the strategic direction of data initiatives across the company. As the Data Practice Lead, you will: Lead and develop a high-performing team of 25–30 data engineers and analysts. Define the vision and strategic roadmap for the Data practice, aligning with the company’s overall objectives. Oversee the delivery of complex data engineering, analytics, and AI/ML solutions for enterprise clients. Partner with pre-sales and delivery teams to design innovative data solutions and win new business. Act as a key point of contact for stakeholders, ensuring alignment, transparency, and excellence in execution. Foster a culture of technical excellence, collaboration, and continuous improvement. This role is ideal for a seasoned leader with a strong technical foundation in data and cloud technologies, combined with proven experience in managing large teams and driving strategic initiatives. Key Responsibilities: Build, mentor, and scale the Data practice team to support current and future business needs. Drive innovation within the Data practice by adopting emerging technologies and best practices. Ensure high-quality project delivery, meeting client expectations and timelines. Collaborate with other practice leads and executives to align cross-practice initiatives. Participate in pre-sales activities, including solution architecture design and client presentations. Track and manage KPIs for team performance, client satisfaction, and financial targets. Required Skills & Experience: 8+ years of experience in data engineering, analytics, or related fields. 3+ years in a leadership role managing teams of 20+ people. Hands-on expertise in data architectures, cloud platforms (preferably AWS), and modern data engineering tools. Strong understanding of data pipelines, analytics solutions, and AI/ML workflows. Excellent leadership, communication, and stakeholder management skills. Ability to work in a fast-paced, dynamic environment and make decisions under pressure. Experience in building and scaling data practices in consulting or service companies. Fluency in Russian is preferred to support team communication. Preferred Qualifications: Exposure to multi-region team management. Familiarity with pre-sales and business development processes. What We Offer: Competitive salary and performance bonus Opportunity to lead a growing practice and shape its strategic direction. Work with cutting-edge technologies and global enterprise clients. Collaborative and innovative work culture.