Data Technical Lead

August 27

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Techstra Solutions

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Driving the Digital Transformation Imperative

Digital Transformation • Technology • RPA/Intelligent Automation • Analytics • DevOps

11 - 50

Description

• Overseeing the end-to-end delivery of data consulting projects, ensuring completion on time, on budget, and meeting or exceeding client expectations • Providing guidance on data modeling, analysis, visualization, and implementation of data solutions • Developing and articulating a clear vision and strategy for the data practice, how we go to market and make clients successful • Leading the development and implementation of innovative data solutions to meet client needs and market demands while staying on top of industry trends, emerging technologies, and best practices • Collaborating with clients to understand their business challenges and goals, and acting as a trusted advisor, providing strategic guidance and recommending data solutions that align with their objectives • Cultivating and maintaining strong client relationships, ensuring high levels of satisfaction, and identifying opportunities for additional services • Coaching and mentoring team members to encourage growth and development of their technical and leadership skills, and fostering a collaborative and innovative team culture • Monitoring project milestones, identifying risks, and implementing mitigation strategies • Collaborating with Client Partners to identify and pursue new business opportunities • Participating in pre-sales activities, including proposal development, client presentations, and scoping of data projects • Contributing to the growth of the data practice through the expansion of existing client relationships and the acquisition of new clients

Requirements

• Proven experience in a leadership role within a data consulting or analytics environment • Design and implementation experience with Azure Cloud Data Services and/or AWS Cloud Data Services • Design and implementation experience with Master Data Management, especially customer and reference data • In-depth knowledge of data management, analytics, business intelligence, and related technologies • Growth mindset and desire to learn • Bachelor’s Degree in: Data Science, Business Analytics or Computer Science (or equivalent education/experience)