Top Data Management Jobs in Indianapolis, IN

The Director of Data & Analytics at Wipfli leads the firm’s data strategy, ensuring effective data management and governance. They collaborate with leadership to define and maintain the analytics vision, establish metrics and KPIs, oversee data quality, and guide data stewardship and AI initiatives. This role involves managing a team to unlock the value of data for strategic decision-making and operational efficiency.

As a Manager on the Revenue Analytics team, you'll drive the growth strategy for a Revenue segment by providing analytical insights, establishing KPIs, and optimizing decision-making processes. Your role will involve collaborating with internal and external stakeholders, producing actionable recommendations, and leading projects from start to finish.

As a Part Time Student in Quality/Data Analytics, you will identify and analyze information to support issue resolution, develop tools for data analysis, participate in development assignments, and adhere to project plans and schedules.

The Data Science Senior Manager will manage the functional data science capability, create a data science roadmap, analyze data for insights, and build teams with the right skills. Responsibilities include applying analytics to solve business problems and interfacing with high-level stakeholders.

The Data Applications Manager will lead the development and implementation of data integration strategies and operational reporting solutions. The role requires managing enterprise-level systems and ensuring seamless data ecosystem performance while overseeing technical team management and stakeholder engagement.

As Director of Data Science and AI at Cisco Meraki, you will lead a growing team to apply quantitative methods and develop machine learning models that enhance customer value and drive product development. Your role will involve strategizing AI use cases, overseeing AI/ML solution deployment, and improving data infrastructure in collaboration with various partners across the organization.

Manage and execute personalized engagement campaigns using insights and analytics to enhance client conversations. Develop statistical models and optimize client interactions while overseeing data integration and quality. Deliver strategic feedback, manage client insights, and ensure compliance with standards. Collaborate across teams to drive personalized value propositions and improve financial outcomes.