Job Title

Job Description-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+ YearsMandatory Skills-AWS plus Databricks, Data Science+ Data Engineering, Project managementLocation-Hyderabad, Bangalore, Chennai, Gurgaon, Pune, KolkataDomain-Healthcare/ Lifesciences/ PharmaRoles & ResponsibilitiesYou 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 SkillsProject Management, Data Warehouse, Data Lake, Analytics, Cloud PlatformDesirable SkillsProgramming, Architecture, Solutioning, Design and DevOps