About USEReady

USEReady is a leader in modern analytics, AI, and cloud engineering solutions. Our flagship product, Pixel Perfect, enables enterprise-grade, pixel-perfect reporting for modern analytics platforms. As we continue to scale globally, we are looking for an experienced AWS DevOps engineer to build, automate, secure, and operate our cloud-native SaaS platform.

This role offers the opportunity to work on cutting-edge AWS technologies, modern DevSecOps practices, AI-powered engineering, and enterprise-scale cloud infrastructure while contributing to next-generation AI-driven modernization initiatives.

Description

Description

• Lead end-to-end delivery of large-scale Data Engineering, Analytics, and AI/ML programs, managing scope, schedule, budget, risks, and stakeholder expectations across multiple workstreams.

• Drive the design and implementation of cloud-based data platforms, data lakes, ETL/ELT pipelines, data governance, and AI solutions leveraging technologies such as AWS, Azure, Databricks, Snowflake, and modern AI frameworks.

• Partner with business leaders, domain SMEs, data scientists, architects, and engineering teams to translate client objectives into scalable data and AI solutions.

• Establish program governance, Agile delivery practices, KPI tracking, and executive reporting while ensuring compliance with data privacy, security, regulatory, and industry standards.

• Manage cross-functional and geographically distributed teams, including vendors and consulting partners, to deliver high-quality solutions that improve operational efficiency, decision-making, risk management, and customer outcomes.

• Identify opportunities to leverage AI/ML, Predictive Analytics, Data and Automation to optimize business processes, enhance data-driven insights, and deliver measurable business value.

Preferred Experience:

• 15+ years in IT with 5+ years managing Data Engineering, Analytics, or AI programs.

• Domain experience in Healthcare and Life Sciences(HLS) is a plus

• PMP/Prince2 and Agile/Scrum certifications preferred.

• Experience managing multi-million-dollar transformation programs and executive stakeholders.

Education

• Bachelor's degree in Computer Science, Information Technology, Engineering, Business Administration, or a related discipline.

• Master's degree/MBA in Technology or Business Management is an advantage.

What We Offer

• Opportunity to work on cutting-edge Data and AI initiatives

• Mentorship and career growth into Senior PM or Program Manager roles

• Collaborative, learning-focused work environment