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The Azure PaaS Product Manager will develop and launch new products and services tailored to customer needs, collaborating with cross-functional teams for timely and quality delivery. Responsibilities include executing product launch plans, managing product budgets, and maintaining relationships with key stakeholders, focusing mainly on the Azure PaaS marketplace and product requirements.

The role involves managing marketing campaigns for the consumer lending/cards business, ensuring accurate end-to-end execution and timely delivery. Responsibilities include applying data science techniques, collaborating with stakeholders to design analytic solutions, and managing analytics projects with global teams.

The Data Architect at Tiger Analytics is responsible for designing and implementing robust data solutions that address complex business problems using large-scale structured and unstructured data. This role includes developing comprehensive data architecture blueprints, optimizing Snowflake performance, implementing data governance, and collaborating with various stakeholders to support data management and analytics initiatives.

As an Associate Product Owner, you will manage product backlog, prioritize requests, collaborate with stakeholders, and oversee product development in Health Analytics. You'll gather data requirements, develop test strategies, and work closely with cross-functional teams to ensure product alignment and quality.

The Program Manager will oversee multiple projects, providing strategic guidance to project managers, developing best practices for data migration, and resolving strategic issues with stakeholders while ensuring programs meet their objectives and KPI benchmarks.

As a Senior Data Steward Manager, you'll oversee data governance and management within the organization, ensuring data quality, compliance, and privacy. You'll partner with cross-functional teams, identify data sources, perform analysis, and promote adherence to governance standards while coordinating with various stakeholders to maintain consistent enterprise data across business segments.

As a Senior Consultant/Manager in Analytics, you will leverage advanced data science applications to address business challenges, manage technical data requirements, and collaborate with stakeholders to create data models. Your role includes data validation processes, utilizing SQL and Python, and leading project efforts through effective communication and strategic planning.