Top Tech Jobs & Startup Jobs

Lead marketing analytics and modeling to grow lending business: design experiments, build and validate campaign pipelines, measure funnel and ROI, manage direct-mail campaign selection and execution, create dashboards and provide data-driven recommendations to marketing and senior leadership.

Serves as the senior authority for life and annuity insurance products, pricing, administration, and operations. Partners with actuarial, finance, product, technology, and carrier-client teams to translate product mechanics and pricing assumptions into administration platforms and servicing models. Oversees configuration, testing, migrations, compliance, and financial accuracy while managing client relationships, supporting commercial engagements, and leading a team of product and pricing specialists.

Designs scalable data solutions, builds and maintains large-scale data pipelines, models enterprise datasets, and enables analytics and AI/ML use cases using Palantir Foundry. The role involves developing Foundry applications and custom TypeScript frontends, integrating AWS data services and machine learning frameworks, optimizing distributed systems, and applying DevOps practices. Candidates should have data engineering, Python, TypeScript, cloud, big data, and Palantir Foundry experience; insurance industry experience and Palantir certification are preferred.

Owns product requirements within an Agile Scrum team by eliciting business needs, mapping processes, documenting functional specifications, writing and prioritizing user stories, coordinating sprint activities, and validating delivered features with QA and business stakeholders. Serves as the customer voice and translates healthcare payment business needs into clear, testable technical requirements.

Leads enterprise Snowflake architecture, Center of Excellence initiatives, governance, security, modernization, and adoption. Designs scalable data platforms, establishes modeling and ELT standards, optimizes performance, and implements Snowflake capabilities including Snowpark and Cortex. Provides architecture guidance, conducts design reviews, mentors engineering teams, and develops AI-powered analytics solutions. The role requires extensive data architecture experience, strong SQL and cloud platform expertise, CI/CD knowledge, and technical leadership.

Leads data and analytics transformation strategy for major client programs, defining roadmaps, use cases, architecture direction, and operating models. Advises senior stakeholders, facilitates strategy workshops, aligns programs to KPIs and value frameworks, supports governance and risk management, contributes to proposals and pre-sales, and mentors consulting and analytics teams.

Owns payment integrity quality operations projects from intake through completion, including workflow improvements, system enhancements, testing, validation, reporting, client setup, implementation, documentation, training, and defect resolution. Partners with quality, audit, reporting, technology, configuration, offshore, and end-user teams to improve efficiency, compliance, scalability, data accuracy, and workflow adoption.

Leads growth across large U.S. banking accounts by developing executive relationships, expanding client penetration, originating opportunities, and shaping consulting and transformation solutions. Partners with account, solution, and delivery teams to position data, analytics, AI, and operations capabilities. Responsibilities include strategic account planning, executive engagement, business case development, proposal support, market intelligence, thought leadership, and industry representation.

Lead data engineering strategy across projects while building AI agents, multi-agent solutions, agentic workflows, and LLM integrations. Design scalable ETL/ELT pipelines, modern cloud data platforms, and data quality, classification, lineage, and governance solutions. Drive innovation, optimize engineering practices, develop long-term data plans, support data modernization programs, and represent the team in executive meetings while collaborating with business, architecture, and engineering stakeholders.

Owns end-to-end delivery of complex, cross-functional data and technology programs in a governance-first cloud environment. Responsibilities include program planning, dependency and risk management, security and compliance coordination, governance framework execution, operational readiness, executive reporting, and stakeholder alignment. Leads privacy-preserving data collaboration through AWS Clean Rooms, including partner onboarding, analysis-rule governance, and compliant cross-organizational data sharing.