_{29th September, 2026}

Our client in NYC is seeking a Senior Data Products & Decision Intelligence Engineer to join their team!
 
This is a hybrid/full-time/direct-hire position
Salary range based on experience: Up to $164
 
This 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.
 
We are an equal-opportunity employer. We do not discriminate in hiring or employment against any individual based on race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws.

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