Jobs at Qvest US

Designs and operates AWS cloud infrastructure, infrastructure-as-code, CI/CD and GitOps pipelines, Kubernetes or ECS workloads, observability systems, security controls, automation tooling, and cost governance. The role also supports reliability engineering through SLOs, incident response, vulnerability scanning, secrets management, disaster recovery validation, and scalable platform operations.

Architect and maintain AWS infrastructure using Terraform or AWS CDK, build CI/CD and GitOps pipelines, manage Kubernetes or ECS workloads, and establish observability, security, reliability, and cost-governance practices. Develop automation with Python or Go, support disaster recovery, optimize cloud resources, and contribute to container, identity, secrets-management, and compliance initiatives.

Lead organizational change management for client technology implementations and business consulting projects. Responsibilities include stakeholder facilitation, change impact and risk assessment, OCM communications and training plans, training delivery, readiness assessments, project-phase coordination, deliverable reviews, risk mitigation, client workshops, and relationship management.

Manage data and analytics consulting projects, teams, stakeholders, and delivery phases from requirements through deployment. Lead hands-on SQL and Python development, data modeling, data warehouse design, and BI visualization using tools such as Tableau, Power BI, Snowflake, and Databricks. Facilitate client workshops and executive meetings, manage risks and budgets, ensure client satisfaction, and contribute to practice growth through mentoring, recruiting, and methodology development.

Serve on client project teams across all phases: gather requirements, design data models, develop with SQL (and occasional Python), build dashboards in Tableau/Power BI/Looker, implement data warehouses (Snowflake, Databricks, Redshift, etc.), run stakeholder workshops, manage risks, and mentor colleagues while supporting business-focused data decision-making.

Supports consulting projects focused on media and entertainment rights management. Responsibilities include documenting requirements, conducting stakeholder interviews and workshops, testing systems, creating client deliverables, supporting PMO reporting, training system users, guiding junior staff, and maintaining client relationships. The role requires experience with content IP, rights management systems, process mapping, system implementations, and consulting engagements.

Executes integrated marketing campaigns across email, social, digital, websites, webinars, and events. Manages Mailchimp campaigns, segmentation, automation, landing pages, content updates, agency coordination, lead capture, and marketing analytics. Maintains martech systems, tracking, contact data hygiene, and campaign reporting while identifying optimization opportunities. Requires 2–4 years of marketing experience, hands-on email and CMS expertise, social media proficiency, analytical ability, and strong project coordination skills.

Leads Qvest’s Parks & Resorts consulting practice by overseeing complex technology implementations, advising executive clients, managing delivery risks, budgets, timelines, and teams, and driving business development and revenue growth. Develops strategic market plans, expands client relationships, represents Qvest at industry events, and delivers digital transformation, machine learning, and applied AI solutions. Requires deep Parks & Resorts expertise, strong consulting leadership, executive communication, and regular travel to Orlando and client sites.

Lead end-to-end system implementation projects: setup, requirements, design, development, testing and deployment. Facilitate workshops and executive meetings, manage risks, maintain client relationships, identify growth opportunities, mentor team members, and contribute to recruitment, strategy, and business development.

Lead CLM-focused consulting engagements through full project lifecycle: setup, requirements, design, development, testing and deployment. Facilitate executive workshops, manage project risks and client communications, mentor team members, and contribute to practice growth and methodology.

Lead rights-management and technology consulting projects through setup, requirements, design, development, testing, deployment, and client workshops. Guide project teams, review deliverables, identify risks with mitigation plans, build client relationships, and contribute to mentorship, recruitment, and internal growth initiatives.

Lead and deliver Applied AI implementations across full SDLC: setup, requirements, design, development, testing and deployment. Manage risks, run stakeholder interviews and workshops, build client relationships, support PMO and change management, and contribute to mentorship, recruitment and internal practice growth.

Lead rights-management and technology implementation projects across all SDLC phases. Run client workshops, manage project plans, budgets, risks, and stakeholder communications. Mentor team members, maintain client relationships, identify new opportunities, and contribute to internal growth initiatives and methodology improvements.

Lead delivery of Applied AI projects across the SDLC: setup, requirements, design, development, testing and deployment. Facilitate executive workshops, manage client stakeholder alignment, identify and mitigate risks, drive organizational change management for adoption, mentor team members, contribute to recruitment and methodology improvements, and manage project planning, budgets, resources, and status reporting.

Lead and grow the IP & Rights Management practice, oversee rights-focused project delivery and implementations, drive business development and vendor relationships, mentor teams, and manage financial aspects of rights (royalties, participations, ultimates, forecasting, revenue recognition).

Lead delivery of applied AI implementations across full project lifecycle; run workshops and stakeholder engagements; manage risks, client relationships, PMOs and teams; drive change management and adoption; mentor staff and support business development and internal growth initiatives.

Lead system implementation projects through setup, requirements, design, development, testing and deployment. Review deliverables, identify risks and mitigation, run stakeholder interviews and workshops, build client relationships, and contribute to mentorship, recruitment and internal methodology improvements.

Work on applied AI consulting engagements: create client-ready deliverables, document requirements, test systems, lead junior staff, support PMO reporting, run stakeholder workshops, train users, and build client relationships.