Top Tech Jobs & Startup Jobs

Analyze large datasets, develop and deploy predictive machine learning models, produce visualizations for stakeholders, collaborate with data engineers to integrate models into production, and lead end-to-end data science projects aligned with client business objectives.

Lead change management for large-scale transformations: assess impacts, develop and execute change strategies, run readiness assessments, embed change into PMO/product/ops, manage stakeholder engagement and communications, coordinate training and SOP updates, and report on readiness and adoption.

Lead and prioritize data platform initiatives for a top client, coordinating data teams, managing multiple projects, communicating risks and status to executives, and delivering healthcare claims/admin data and integration solutions.

Own product roadmaps and prioritize initiatives across cross-functional teams. Define product vision, business cases, and high-level user stories. Evaluate sprints for business value, coach product managers, and support development of new digital capabilities to align with business strategy.

On-site Community Manager responsible for growing and engaging online and offline communities. Develop and execute engagement strategies, create and curate content, foster inclusive culture, encourage user-generated content, track community metrics, report insights, and make data-driven recommendations to optimize engagement, with strong focus on LinkedIn.

Lead end-to-end delivery of healthcare EDI (834/837/835/270/271) integrations, coordinate inbound/outbound data feeds, gather requirements, create file specs, manage testing, monitor data quality, track milestones/KPIs, resolve issues, and use Jira/Confluence for documentation.

Sell nearshore BPO and technology development solutions from Mexico, manage full sales cycle (prospect to close), coordinate with delivery and tech teams, represent the company at events, maintain pipeline and forecasts, and travel quarterly to Mexico to meet clients and centers.

Develop integrated software algorithms and data-driven monitoring/analytics systems. Work with large-scale computing frameworks, apply machine learning and statistical modeling, translate customer requirements into solutions, document installation/maintenance procedures, and solve complex problems with a security-first mindset.