Top Senior Level Jobs in Albuquerque, NM

The Senior Business Systems Analyst collaborates with stakeholders to translate business requirements into technical specifications, manages requirements throughout the project lifecycle, and ensures alignment with organizational goals while enhancing efficiency in processes.

Own channel and systems integrator relationships in North America, build partner-sourced pipeline and co-sell motion, structure channel agreements and programs, maintain pipeline hygiene in Salesforce and Clari, coordinate partners with product and field sales teams, and drive partner-led proofs of concept to closed deals.

Design, build, test, and maintain production-ready, scalable API services and platform solutions using microservices and containerization. Collaborate with engineers, Data Engineers, CloudOps and Product to deploy and operate services on cloud platforms, ensure observability and readiness, and participate in Agile lifecycle activities.

Define and drive Coursera's multi-quarter mobile strategy and vision. Lead end-to-end product lifecycle for native iOS/Android apps, partner with engineering, design, data science, and marketing, use experimentation and research to prioritize work, influence cross-org investment decisions, and raise product craft to improve discovery, engagement, retention, and measurable business outcomes for millions of learners.

Lead global customer success enablement by designing, deploying, and measuring learning programs. Partner with CS leadership and cross-functional teams, deliver coaching and content, localize initiatives, and use data and evaluation frameworks to drive performance and readiness.

Design, build, and support Data Services and integrations for SaaS products. Implement and maintain REST APIs, modularize code into services, convert backlog into features, support client sandbox/configuration and custom integrations, and manage project activities from scoping through deployment.

Deliver instructor-led training (onsite and virtual) and lab-based workshops for threat analysts and administrators. Develop training content, learning paths, and certification programs. Inform product roadmap with learner feedback, mentor junior staff, maintain delivery standards, and manage logistics to scale Filigran's training function.

Own end-to-end planning and execution of Americas ElasticON events: project plans, budgets, registration, event tech, sponsorship fulfillment, production, logistics, onsite operations, stakeholder alignment, and post-event measurement to drive pipeline and customer engagement.

Lead and improve pre-pipeline and top-of-funnel prospecting processes and tools. Define prospecting journeys, playbooks, governance, and success metrics. Own tool strategy and data quality for prospecting systems, drive cross-functional initiatives to simplify workflows, prioritize enhancements, manage change, and measure adoption and business impact to accelerate pipeline generation.

Lead video strategy, manage a small internal team and external vendors, and oversee end-to-end production of product explainers, customer stories, executive thought leadership, and social content. Serve as producer and hands-on editor when needed, build repeatable workflows, ensure brand and technical accuracy, and explore AI-powered formats.

Manage day-to-day operations of enterprise IAM services (SailPoint ISC/IGA, Ping, Okta, AD), ensure platform availability and SLA adherence, lead incident and change management, vendor and stakeholder communications, track risks and metrics, and coordinate operational readiness for critical events.

Lead delivery of Data Management and Analytics projects, manage project health across scope, schedule, budget and risks, act as primary client contact, drive customer satisfaction, position additional work, and direct globally distributed teams using Agile and Waterfall methodologies.

Lead research, design, and production implementation of computer vision and ML solutions. Define architectures, run experiments, own model lifecycle (data, training, evaluation, deployment), optimize inference, set MLOps standards, mentor engineers, and collaborate with product and engineering teams to deliver production-quality CV features.

Lead design, research, and productionization of advanced NLP and LLM systems (NER, classification, generation, RAG/GraphRAG, semantic search). Drive experiments, model evaluation, data labeling strategy, and integration of NLP models into production workflows while providing technical leadership across engineering, product, and data teams.