Financial Data AnalystWe are seeking a Financial Data Analyst to join our team in the healthcare industry in Columbus, Ohio. As a Financial Data Analyst, you will be entrusted with the responsibility of managing financial data, creating detailed budgets, producing financial reports, and identifying financial improvement opportunities. This role is integral to our operations, and your insights will directly impact our financial strategies and decision-making processes. <br><br>Responsibilities: <br><br>• Manage and analyze financial data to identify trends and make recommendations for improvement<br>• Create detailed grant, program, and department budgets in collaboration with operations<br>• Produce monthly financial reports, noting budget to actual variances<br>• Track corporate grants and coordinate with the development department to ensure accurate tracking and forecasting<br>• Monitor spending to ensure compliance with budget guidelines and escalate concerns to appropriate leaders<br>• Prepare financial documents for billing funders and assist program managers with financial insights<br>• Coordinate with other finance team members to review financial information and forecasts<br>• Participate in establishing program plan requirements and conduct program plan studies<br>• Monitor and report performance against plans to ensure contractual, cost, and schedule objectives are met<br>• Forecast and track financial results throughout the year to meet budget projections.Accounting Analyst<p>We are offering a long-term contract employment opportunity for an Accounting Analyst in Enon, Ohio. The Accounting Analyst will be pivotal in supporting audits, utilizing accounting software systems, and providing analytical insights for our team. <strong>For immediate consideration, please apply online first, then contact Chris Braun at (937)331-6360.</strong></p><p><br></p><p>Responsibilities</p><p>• Utilize strong Excel skills to analyze financial data and prepare reports</p><p>• Assist in the audits of converted locations, ensuring accurate record keeping and reporting</p><p>• Leverage Oracle and other accounting software systems to manage and analyze financial data</p><p>• Oversee accounts payable functions, ensuring accurate and timely processing of payments</p><p>• Conduct sales analysis and reporting, providing insights and recommendations based on the findings</p><p>• Use analytical skills to assess financial operations and make recommendations for improvements.</p>IT- Product Owner: III (Senior)<p><strong>About the Role </strong></p><p> We are seeking a highly skilled technical engineer for the role of Technical Product Owner (Machine Learning Operations) in a 90-day contract-to-permanent capacity, hybrid, located in Columbus, OH. </p><p>This is not a traditional business-focused product owner role -- we need someone with deep technical experience in MLOps, cloud infrastructure, DevOps, and CI/CD pipelines. While formal product management experience is a plus, we prefer engineers with strong technical foundations who are eager to step into a product leadership role. </p><p>If you are a product owner with very deep relevant (see more below) technical expertise, we are open to having a conversation.</p><p><br></p><p>This role is ideal for: </p><ul><li>Experienced MLOps engineers, DevOps engineers, or ML engineers looking to transition into technical product management. </li><li>Current product owners with strong MLOps and DevOps expertise. </li></ul><p><strong>Key Responsibilities </strong></p><p><strong>Onboarding & Training</strong> </p><ul><li>Align with internal product owner methodologies and governance. </li><li>Familiarize with MLOps workflows, DevOps pipelines, and platform architecture. </li><li>Learn Infrastructure-as-code best practices (Terraform, Kubernetes, AWS). </li><li>Complete refresher training on MLOps frameworks, CI/CD pipelines, Terraform, and AWS SageMaker. </li></ul><p><strong>Product Ownership & Backlog Management </strong></p><ul><li>Collaborate with data scientists, engineers, and business users to define machine learning and analytics requirements. </li><li>Own and prioritize backlog in Azure DevOps (ADO) ensuring clarity and traceability. </li><li>Lead discovery sessions to define ROI, scope, and ‘Definition of Done’ for solutions. </li><li>Translate business needs into structured requirements for Solution Engineers and ensure model deployment integration (batch, real-time, LLMs). </li></ul><p><strong>Solution Engineering & Implementation </strong></p><ul><li>Act as a bridge between engineering and business, translating technical challenges into actionable items. </li><li>Collaborate with Solution Engineering, Cyber teams, architects, and Implementation Engineers for design and deployment. </li><li>Work with Production Support to define monitoring, alerting, and incident management. </li><li>Ensure proper routing of model outputs (Data Lake, Kafka, BigQuery, Apigee Gateway). </li></ul><p><strong>Governance, Monitoring & Incident Management </strong></p><ul><li>Define model drift, data drift detection, and Model Risk Management (MRM) requirements. </li><li>Ensure solutions meet MRM standards related to model metadata (KPIs) and governance. </li><li>Establish incident tracking workflows via ServiceNow, removing reliance on email alerts. </li><li>Enforce CI/CD best practices for automated model deployment and monitoring.</li></ul>