Senior Technical Project Manager

2 hours ago

Bengaluru Karnataka India, Karnataka Tredence Inc. Full time

Roles & Responsibilities


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.
  • Proven experience in healthcare/ Life Sciences/ Pharma ecosystems
  • At least 5 years of experience 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.
  • At least 5 years’ experience in running either AWS/ Azure data projects. Databricks knowledge would be an added advantage
  • 15 to 19 years of experience in the software industry.
  • Min 5 years of experience in managing technology programs as program manager.

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