Manager-TPM

7 days ago


india Tredence Full time

Role- Technical Project Manager

You Will- • Owns the roadmap, timelines and delivery of data engineering and data science work streams by building end-to-end schedules, and managing cross team and cross functional project timelines in collaboration with engineering management, product management and business stakeholders. • Lead multiple data-solution programs covering data pipelines, visualizations, data alerts, advanced analytics and machine learning methods, translating raw data into strategic insights and recommendations for leadership and business teams. • Lead the technical delivery, implementation, and business adoption of new scalable and reliable data analytics, and business intelligence solutions for cross-functional teams • Is the custodian of agile and scrum processes. Conducts retrospectives, understands best practices, drives process improvements, finds new ways of operating with a focus on engineering efficiency and simplicity of processes. • Ensures that the team is adhering to estimates, schedule and agreed quality parameters of their tasks. • Is proficient in creating quarterly and sprint wise plans, and sprint delivery reports and is able to drive improvements on any deviations from set goals. • Manages risks and issues to closure. • Manages and tracks all action items with respective stakeholders and brings it to closure. • Collaborates across teams to work with technology vendors to enable financial plans, operating plans, vendor onboarding and continuous monitoring of performance and cost. • Creates presentations based on multiple sources of data, brings out insights from the data, recommends actions and plans for their execution. You Have: • Experience as a software developer and as a team lead in the data engineering space. Engineering manager experience would be an added advantage. • Experience of developing data solutions using any data engineering methods. Has working knowledge of SQL • Worked in a startup or fast product development environment with frugality and some degree of ambiguity. • B. Tech must-have, MBA would be good to have. • Proven track record of delivering enterprise level ETL / Data-warehouse specific products/projects. • Work experience in running either AWS/ GCP or Azure data projects. Databricks knowledge would be an added advantage • 13 to 16 years of experience in the software industry. • Min 5 years of experience in managing technology programs as program manager. Mandatory Skills Project Management, Data Warehouse, Data Lake, Analytics, Cloud Platform Desirable Skills Programming, Architecture, Solutioning, Design and DevOpS



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