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 :

Skills Required

Advanced Analytics, Machine Learning, Sql, data engineering , Data Science, Scrum, Agile, Databricks, Azure, Etl, Aws