Senior Technical Project Manager

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.