Senior Technical Project Manager

Role requires experience in leading and delivering data & analytics projects covering technology delivery, managing delivery risks and issues, controlling costs, improving ROI and driving value creation.

Experience - 14+ Years

Mandatory Skills-

AWS plus Databricks, Data Science+ Data Engineering, Project management

Location-

Domain-

Healthcare/ Lifesciences/ Pharma

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.
• At least 2 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 2 years experience in running either AWS/ GCP or Azure data projects. Databricks knowledge would be an added advantage
• 7 to 10 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