Onebridge

HQ
Indianapolis, Indiana, USA
Total Offices: 2
500 Total Employees
Year Founded: 2005

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Jobs at Onebridge

Search the 10 jobs at Onebridge

Recently posted jobs

12 Hours Ago
New York, NY, USA
Information Technology • Analytics
As a Sales Executive in Data & Analytics, you will manage a sales pipeline, convert leads into opportunities, build strong client relationships, and lead meetings to develop tailored strategies. Your tasks include negotiating contracts, closing deals, and delivering impactful presentations, while monitoring performance through sales metrics and collaborating with senior stakeholders to drive business outcomes.
3 Days Ago
Indianapolis, IN, USA
Information Technology • Analytics
The Adobe Technical Lead is responsible for architecting and implementing solutions using Adobe's suite of products. The role includes providing technical leadership, collaborating with different teams, ensuring best practices, and overseeing multiple projects while managing complex, cross-functional initiatives.
3 Days Ago
Indianapolis, IN, USA
Information Technology • Analytics
As a Product Owner (AWS Glue), you will collaborate with business partners to drive solutions and manage a product backlog. Responsibilities include overseeing data integration and transformation processes, leading Scrum ceremonies, and engaging stakeholders to ensure timely development in alignment with business goals.
Information Technology • Analytics
As a Salesforce Data Cloud Solution Architect, you will design and implement scalable data solutions within Salesforce, oversee data integration projects, collaborate with development teams on data models, and engage with stakeholders to ensure solutions meet business needs while improving data performance and quality.
3 Days Ago
Indianapolis, IN, USA
Information Technology • Analytics
As a Technical Lead (ML/AI), you will provide strategic direction for developing ML/AI solutions, coordinating with stakeholders, managing project requirements, and delivering progress updates. The role involves enhancing operations, guiding teams, and ensuring alignment with project goals while fostering relationships with clients.
3 Days Ago
Indianapolis, IN, USA
Information Technology • Analytics
The Product Owner (ML/AI) is responsible for defining and delivering ML/AI solutions by collaborating with business partners, managing the product backlog, leading Scrum ceremonies, and ensuring alignment with technical goals. This role requires gathering requirements, facilitating stakeholder communication, and continuously improving AI models.
3 Days Ago
Indianapolis, IN, USA
Information Technology • Analytics
As a Sr. Data Science Solution Architect, you will lead the vision and solutions in healthcare data applications, providing technical leadership in machine learning and AI. Collaborate with teams to develop ML models, ensuring data quality and compliance with healthcare regulations, while mentoring others and driving innovation in healthcare workflows.
3 Days Ago
Indianapolis, IN, USA
Information Technology • Analytics
The Strategic Data Manager will lead data strategies, oversee data governance, manage data architecture, and drive data-informed decision-making. Responsibilities include implementing data governance policies, creating a data roadmap, engaging with stakeholders, and using data analysis tools to generate insights for projects.
3 Days Ago
Indianapolis, IN, USA
Information Technology • Analytics
The Azure Databricks Architect is responsible for developing strategic technology architecture and scalable data solutions. This role involves collaborating with teams in an Agile environment, optimizing data workflows, and implementing best practices for data governance and security within Azure Databricks. The Architect will also lead and share knowledge on advanced analytics techniques.
9 Days Ago
Indianapolis, IN, USA
Information Technology • Analytics
The Snowflake Data Engineer is responsible for designing, building, and maintaining scalable data infrastructure utilizing Snowflake to support business priorities. This involves creating data pipelines, managing ETL/ELT processes, ensuring data quality, and collaborating with stakeholders to drive data governance and quality initiatives.