Top Senior Level Jobs in Albuquerque, NM

Lead product strategy and delivery for an enterprise semantic data product (ontologies, taxonomies, knowledge graphs) that enables search, analytics, automation, and generative AI. Partner with business, data, and engineering teams, define roadmap and governance, drive adoption, mentor product managers, and measure business impact.

Lead full-stack product engineering for AI-powered healthcare features. Build frontend experiences, backend services, APIs, relational data models, and AI workflows. Prototype, ship, and iterate production systems; improve AI via evaluation and product signals. Ensure reliability, privacy, observability, and operational readiness while collaborating with product, design, customers, and engineers.

Lead a team analyzing large-scale behavioral and transactional data to detect and prevent fraud. Build monitoring frameworks, dashboards, and metrics; track and optimize AI agent performance; partner with ML, product, and engineering to translate findings into model features; hire, mentor, and coach analysts; and define cross-functional fraud strategies.

Lead company-wide People programs, advise executives on org design and succession planning, optimize HR processes with data and automation, drive performance management, compensation, leadership development, manager enablement, and employee engagement while mentoring the People team and ensuring compliance.

Lead and build the Risk Analytics function: define pricing methodology and risk frameworks, own portfolio and pricing strategy, convert monitoring into decision systems, architect the Risk Analytics data layer (dbt/Snowflake), mentor senior data scientists, and represent risk recommendations to senior leadership to drive business decisions.

Own and evolve the AI triage, routing, and agent library for inbound support tickets; administer and debug Zendesk systems and integrations; build automations, monitoring, and reporting; maintain integrations, routing logic, and AI QA; drive automation roadmap and continuous improvement to increase containment and reliability across CX operations.

Lead and execute the Always On revenue program to drive upsell and cross-sell across members. Build and run experiments, optimize site ads, automated campaigns, and personalized offers using analytics, AI, and automation. Partner with Product, Email, Analytics, and Engineering to launch revenue initiatives, scale workflows, and translate data into actionable growth recommendations.

Designs, implements, and optimizes Workday architecture and enterprise solutions. Provides strategic consultation, specifies complex system designs, oversees integration and change management, mentors teams, leads impact analysis, and supports implementations including travel and on-call responsibilities.

Design, build, and operate enterprise-scale AWS Lakehouse data solutions. Implement batch and streaming ingestion, ELT/ETL, data quality, CI/CD-driven DataOps, orchestration (Airflow), and observability. Partner with stakeholders to deliver governed, production-ready datasets, mentor engineers, conduct design reviews, and support cloud modernization and lifecycle management.

Lead Moxie’s strategic finance function: own forecasting, GMV modeling, budget-vs-actual and variance analysis, build dashboards and processes, partner with cross-functional leaders, and support strategic initiatives including tech rollouts and M&A.

Lead RevOps role supporting B2B clients: design strategic frameworks to improve data, technology, and processes; manage Everpeak colleagues and client expectations; execute internal projects; research and trial new software and AI. Part-time or full-time; must live within one hour of downtown Chicago.

Provide end-to-end HubSpot consulting: discovery, requirements translation, implementation, testing, data cleansing/imports, post-go-live support, and proactive client relationship building. Tackle code-related tasks and work in agile sprints to deliver solutions and ensure user adoption.

Lead and scale the enterprise virtual risk assessment program by translating strategy into operating plans, governance, quality controls, workforce plans, and technology adoption. Oversee day-to-day virtual operations, capacity planning, vendor management, analytics-driven performance reporting, and integration with field operations. Coach and develop staff, manage stakeholder relationships, ensure compliance with industry standards, and perform complex virtual and occasional onsite assessments to maintain technical credibility and continuous improvement.