Hire Kavita D. - AI Product Manager

* Business requirements * Lead discussions with Product, UI, Pricing, ML teams to discuss the requirements and identify the feasible high level solution. Identify the Improvement targets. Get the current figures * target improvement * precision, acquisition or CTR. Create and manage Project/Program Plans Data exploration stage * analyze the different data sources and identify high level data domains, specific primary semantic assets, supporting dimensional data. Model Evaluation and Training * support the data ETL pipeline build, align the Data Scientist, ML engineer, ML Ops teams to work together for Model training with production data. Monitor risk and issues and manage the fix. Model activation * Identify the requirements for the Inference pipeline. Work with the ML Engineer, ML Ops team and Product Model Retraining * Identify the retraining cadence, Manage the implementation of automated retaining pipelines and jobs. Facilitate CI/CD requirements for retrained Model deployment. Daily Standup, Sprint Planning, Retrospective, 1-1 team member meetings, Quarterly planning, Resourcing requirements, Quarterly reporting

Collaborated with business users, technical teams, database administrators and testing teams during kickoff meetings, joint application designing, and planning sessions to validate requirements. Served as technical liaison, supporting engineering, Product management, and quality assurance. Outlined work plans, determined resources, wrote timelines, and generated initial budgets as part of project scope determination. Communicated project plans and OKR progress to key stakeholders and project contributors. Partnered with project team members to identify and quickly address problems. Created and implemented contingency plans to address potential risks. Developed project plans and managed project scope using methodologies to guide projects from conceptualization to implementation and maintenance. Managed 3 project teams in the Agile environment, realizing success through application of SDLC methodologies and exceptional leadership skills. Analyzed Business Requirement and define Requirements as stories for the Technical team. Create Data mapping for DWH Marts and Reports as per Business Use cases. Create Semantic Views in Big Query for File extract in GCP bucket. Code review for semantic assets built by the team.

* Work with multiple teams to identify and on-board team who are new to Jira and Confluence. * Discuss and identify the requirements for the new Jira project, identify the workflow for each team, with the detailed field-value mapping for the Epic, Stories, tasks, sub-task etc. * Capture as-is processes from Multiple functions and sub-teams. * Define new process for teams who used excel for project tracking. * Meet with each team lead to elicit requirements for their team specific process workflow. * Create Jira projects and workflows for these teams. Create Sample Kanban/Scrum boards and train team to create their own boards. * Create User guides and training docs * Train multiple teams on Jira and Confluence