Job Description

Responsibilities

• Elevate Data Intelligence: Set vision for Intuitive, integrated and intelligent frameworks to enable smart Insights. Discover new sources of information for strong enrichment of business applications.
• Modernization: Keep up with the latest industry research and emerging technologies to ensure we are appropriately leveraging new techniques and capabilities and drive strategic change in tools & capabilities.
• Develop roadmap to transition our analytical and production usecases to the cloud platform and develop next generation MIS products through modern full stack BI tools & enable self-serve analytics
• Define digital data strategy vision as the business owner of digital analytics data & partner to achieve the vision of Data as a Service to enable Unified, Scalable & Secure data assets for business applications
• Strong understanding of key drivers & dynamics of Digital Data, Data Architecture & Design, Data Linkage & Usages. In depth knowledge of platforms like Big Data/Cornerstone, Lumi/Google Cloud Platform, Data Ingestion and Organized Data Layers.
• Being abreast of the latest industry & enterprise wide data governance, data quality practices, privacy policies and engrain the same in all data products & capabilities and be a guiding light for broader team.
• Partner and collaborate with multiple partners, agency & colleagues to develop Capabilities that will help in maximizing demand generation program ROI.

Requirements

• 1-2 years with relevant experience in the Automation, Data Product Management/Data Strategy with adequate data quality, economies of scale and process governance
• Proven thought leadership, Solid project management skills, strong communication, collaboration, relationship and conflict management skills
• Bachelors or Master’s degree in Engineering/Management
• Knowledge of Big Data oriented tools (e.g. Big query, Hive, SQL, Python/R, PySpark); Advanced Excel/VBA and PowerPoint; Experience of managing complex processes and integration with upstream and downstream systems/processes.
• Hands on experience on visualization tools like Tableau, Power BI, Sisense etc.