Senior Data Products & Decision Intelligence Engineer

Senior Data Products & Decision Intelligence Engineer

Job Category: Info Technology

• Posted :
  September 3, 2026
• Full-Time
• Hybrid

Showing 1 location

New York, NY 10120, USA

The Doctors Company is seeking a Senior Data Products & Decision Intelligence Engineer to join our team. This is a hybrid opportunity preferably located at our office in New York City, or any other TDC Group or Pro Assurance office location.

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.

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.

Responsibilities:

• 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.
• 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 Analytics Next 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, Data Ops, CI/CD, testing, deployment, and support standards.
• Ensure data quality, lineage, auditability, security, and compliance requirements are embedded in delivered solutions.
• 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 various projects to meet TDCG business objectives and provide updates to leadership on assigned projects, as necessary.

Salary Range: $124,548 - $163,879 . Compensation varies based on skills, knowledge, and education. We consider factors such as specialized skills, depth of knowledge in the field, and educational background to ensure fair and competitive…