Top Tech Jobs & Startup Jobs in Little Rock,

Leads enterprise analytics engineering by establishing statistical standards, validation and QA practices, measurement frameworks, reporting standards, governance, reusable data pipelines, automation, and production-grade analytics solutions. Connects Commercial, Medical, Market Access, and other teams to enable scalable, trusted, compliant, and decision-focused analytics. Requires strong technical and cross-functional leadership, analytics infrastructure expertise, and the ability to build enterprise capabilities from ambiguity.

Own LanceDB’s accounting function, including daily accounting operations, financial close, reporting, financial systems, tax, compliance, and controls. Build scalable accounting infrastructure for growth, fundraising, audits, and international expansion. Partner with executives and cross-functional leaders to provide actionable financial insight. Hire and lead the accounting team, manage outsourced accounting support, and establish processes and systems for a growing technology company.

Designs, maintains, and modernizes the Department of Labor’s Oracle EBS-based financial management system. Responsibilities include developing architecture blueprints, integrating databases, cloud services, APIs, and web applications, enforcing NIST and FedRAMP security controls, and collaborating with program, finance, and cybersecurity stakeholders. The role requires extensive federal Oracle ERP architecture experience, cloud and database expertise, and the ability to obtain Public Trust Level 5 or 6 clearance. Work is remote within the continental United States, with possible in-person meetings in Washington, DC.

Negotiate personal injury settlements with insurance carriers and adjusters, build settlement breakdowns reconciling recoveries against fees, costs, and liens, and collaborate with attorneys, case managers, and clients. Execute agreed negotiation strategies, cultivate stakeholder relationships, manage competing deadlines and SLAs, and apply strategic thinking, attention to detail, and AI tools to drive timely, fair resolutions for clients.

As a Legal Ops Assistant, you will handle various overflow tasks to support Case Managers, conduct client check-ins, and manage case updates in a fast-paced environment.

Case Managers at Finch handle operational tasks in pre-litigation, including opening insurance claims, managing medical and police reports, and resolving lien issues, enabling attorneys to work effectively.

Reviews and drafts corporate, commercial, and M&A legal documents under US law; assesses contractual risks, obligations, enforceability, and compliance issues; evaluates AI-generated legal content; explains complex legal concepts; develops legal scenarios and document examples; and provides structured feedback to improve legal accuracy and quality.

Develop pricing models, operating budgets, and proforma analyses for commercial real estate outsourcing pursuits. Partner with sales and solutions teams to evaluate profitability, prepare RFP pricing deliverables, support deal approvals, ensure data integrity, and implement pricing tools and process improvements.

Manages the full accounts receivable cycle, including invoicing, collections, cash application, reconciliations, discrepancy resolution, and customer communications. Reviews APAC payroll transactions in NetSuite, supports month-end close, prepares journal entries and account reconciliations, analyzes financial variances, and assists with annual audits and special accounting projects.

Design, implement, and optimize full-stack solutions. Collaborate with cross-functional teams, participate in code reviews, analyze and improve system performance, and stay current with industry technologies.

Manage the performance management system, support managers with individual development plans, track and evaluate development activities, support succession planning, design and run engagement surveys and programs, assess training needs, coordinate training, and evaluate training effectiveness.

Leads complex machine learning and advanced analytics initiatives for customer intelligence, segmentation, propensity scoring, behavioral prediction, and personalized engagement. Owns models through the full lifecycle, from problem framing and feature engineering to deployment, monitoring, retraining, and interpretation. Partners with product, engineering, MLOps, and data teams; defines evaluation metrics; mentors technical contributors; promotes responsible AI practices; and communicates results to technical leaders, clients, and business stakeholders.

Build, validate, deploy, and monitor machine learning models for customer segmentation, propensity scoring, and behavioral prediction. Own data exploration, feature engineering, and validation for assigned projects while collaborating with senior data scientists, MLOps, product, engineering, and data teams. Translate model outputs into client insights, document work for stakeholders and compliance review, and contribute to evaluation frameworks, dashboards, code reviews, and technical learning.