29th September, 2026Our client in NYC is seeking a
Senior Data Products & Decision Intelligence Engineer to join their team!
This is a hybrid/full-time/direct-hire positionSalary range based on experience: Up to $164This position can be based in NYC, Lansing, MI, or Napa, CA
Mission The Senior Data Products & Decision Intelligence Engineer is responsible for partnering directly with business stakeholders to design, build, and operationalize data products, decision-support applications, and AI-enabled workflows that improve patient safety, underwriting, claims, risk management, and operational effectiveness. This role combines hands-on engineering, solution architecture, technical leadership, and stakeholder engagement while mentoring junior engineers and establishing engineering standards across the organization. Operating as a forward-deployed engineer, this role works directly with business teams to identify opportunities, rapidly develop solutions, and deliver measurable business outcomes.
Responsibilities: Forward Deployed Engineering & Solution Delivery - Personally design, build, deploy, and support production-grade business solutions for priority stakeholder needs.
- Partner directly with underwriting, claims, patient safety, actuarial, and operational stakeholders to solve business problems.
- Translate ambiguous business requirements into scalable technical solutions and clear delivery plans.
- Serve as principal technical contributor on high-complexity initiatives requiring rapid prototyping and operationalization.
- Own delivery quality for decision intelligence products from discovery through production support.
Data Products, Analytics & AI Enablement - Develop governed data products supporting analytics, AI, machine learning, and decision intelligence use cases.
- Enable operational reporting, predictive analytics, and AI-driven workflows through reusable data and application patterns.
- Drive measurable business adoption, value realization, and continuous improvement of delivered capabilities.
- Establish standards for reusable data products, decision-support assets, and stakeholder-facing analytical solutions.
Enterprise Integration & Data Engineering - Design and implement scalable integration patterns across enterprise platforms, application systems, and data sources.
- Build and support data pipelines, event-driven integrations, transformations, and operational data flows.
- Support AnalyticsNext and other modernization initiatives through reusable engineering patterns and implementation guidance.
- Maintain architecture and engineering documentation supporting operational continuity and auditability.
Engineering Excellence, Governance & Reliability - Establish and maintain software engineering, DataOps, CI/CD, testing, deployment, and support standards.
- Ensure delivered solutions embed data quality, lineage, auditability, security, and compliance requirements.
- Create monitoring, observability, operational support, and remediation capabilities for production solutions.
- Promote reliable, maintainable, and scalable engineering practices across the team.
Other duties as assigned - Mentor junior engineers through pairing, code reviews, design reviews, documentation, and direct technical coaching.
- Lead knowledge transfer, engineering best practices, and reusable solution patterns across the team.
- Participate in projects to meet TDCG business objectives and provide leadership with updates on assigned projects, as needed.
Qualifications: - Bachelor's degree in Computer Science, Information Systems, Data Science, or a related technical field.
- 8+ years of experience in data engineering, software engineering, analytics engineering, decision intelligence, or related technical disciplines.
- 5+ years of experience designing, building, and supporting production-grade data products, analytical applications, or enterprise software solutions.
Applicants must be authorized to work in the U.S.
