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Lead design and execution of data science projects, partner with stakeholders to define solutions, manage data acquisition and quality, develop and deploy ML models (including deep learning and NLP), monitor model performance, present findings to executives, mentor team members, and influence data governance and best practices.

Lead product vision and strategy, manage end-to-end product lifecycle, prioritize feature roadmaps, drive cross-functional collaboration, apply change management, facilitate Agile practices, track product health and metrics, and mentor team members to elevate product and delivery capabilities across the organization.

Lead product discovery and strategy in cross-functional Agile teams. Define product vision, prioritize roadmaps and backlogs, write user stories and acceptance criteria, track product metrics, support rollouts and change management, mentor teammates, and lead testing including functional, UAT, and 508 compliance.

Design and develop reports and dashboards (Tableau, Power BI, Looker, D3) by partnering with stakeholders. Use SQL to explore and import data, create prototypes, ensure data accuracy through quality checks, optimize BI deliverables, document and train end users, and promote best practices in data visualization and UX.

Design, build, and maintain scalable data lakes, warehouses, and production ETL/ELT pipelines. Automate data pipelines, ensure data quality via testing, collaborate with architects, data scientists, and DevOps, integrate data solutions into client environments, and implement data recovery and security measures.

The Senior Consultant Data Analyst will analyze business requirements, create SQL queries, develop data models, and communicate insights to clients, supporting digital product development and decision-making processes.