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Engineering Manager with 10+ years in Data Modernisation & Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Data & Analytics Leader. Data & AI leader with 10+ years of experience delivering large-scale data modernisation, analytics, and AI programmes across banking, retail, and technology sectors. Skilled in building data platforms, leading cross-functional engineering teams, and driving end-to-end project delivery from strategy to execution. Experienced with global clients such as Microsoft, Silicon Valley Bank, and Jaguar Land Rover. Passionate about leveraging data, cloud, and AI to create measurable business value within agile, collaborative environments.
Noida Institute of Engineering and Technology
Bachelor of Technology
N/A – June 30, 2014
Tredence Analytics
Engineering Manager - Data & AI
August 1, 2024 – Present
India
Brillio Technologies
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NTT Data GDS
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TCS
Technical Business Analyst
November 1, 2014 – June 1, 2019
India
Six Sigma Green Belt Certified
Unknown
June 1, 2026 – Present
AWS Architect Development Program
Unknown
June 1, 2026 – Present
SAFe Product Owner/Product Manager (POPM)
Unknown
June 1, 2026 – Present
Scrum Master (SSM)
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience with diverse global clients (Microsoft, Silicon Valley Bank, Citibank, Wells Fargo, Commonwealth Bank of Australia, Jaguar Land Rover) and various industries (banking, retail, technology) suggests adaptability and a broad perspective. Their emphasis on collaboration, continuous improvement, and leveraging data for business value indicates a strong cultural alignment with data-driven and agile organizations. The pursuit of an AWS Architect Development Program and existing certifications further highlight a commitment to continuous learning and professional growth.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, stakeholder management, and cross-functional collaboration skills through their experience in leading diverse teams and partnering with clients across various regions. Their focus on agile delivery, process improvement, and data governance indicates a structured and quality-oriented approach to operations. The ability to translate business requirements into technical solutions and drive measurable outcomes aligns well with a senior management role.