Top Hybrid Jobs in Indianapolis, IN

Lead the design and implementation of innovative data models for finance and actuarial use cases, mentoring team members and fostering client interactions.

Lead large technology projects and innovation processes, create automated workflows, and provide strategic insights to improve client service and operational excellence.

Manage data and analytics projects, align client data strategies, facilitate cloud data migration, and coach team members while ensuring business objectives are met.

The Assistant Director of Data Solutions will develop complex data solutions, define impactful metrics, and influence strategic thinking across teams. Collaboration with stakeholders is key to ensuring effective data management and self-service consumption, leveraging frameworks like SPACE and DORA for performance measurement.

Lead and facilitate Agile Release Trains, coordinate project delivery, manage backlogs and dependencies, and improve organizational performance.

The Senior Account Manager will manage a portfolio of complex customers, develop sales plans, grow sales within accounts, and respond to changing customer needs.

The role involves selling SailPoint's Identity Security Solution, engaging with customers, managing the sales cycle and collaborating with partners to meet revenue goals.

As a Technology Manager, lead digital transformation programs in Financial Services, focusing on cloud, data, and analytics solutions while building client relationships and overseeing project delivery.

As a Manager - Observability, you will lead a team in building metrics and tracing platforms, participate in architecture development, and foster team collaboration.

The Senior Oncology Account Specialist promotes Pfizer's products to healthcare providers, enhances patient care, and builds strong relationships within healthcare environments.

The role drives the implementation of IL6S, builds capabilities, leads loss analyses, and enhances manufacturing performance through training and coaching.

The Senior Data Engineer will architect and implement data pipelines, manage their performance, and partner with stakeholders to ensure data accessibility and quality. Responsibilities include assessing data sourcing needs and providing visibility into pipeline status.