Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
USEReady Inc. is seeking a seasoned leader to drive end-to-end delivery of large-scale Data Engineering, Analytics, and AI/ML programs from our Bengaluru hub.
You will manage scope, schedule, budget, risks, and stakeholder expectations across multiple workstreams, ensuring on-time value delivery. You will design cloud-based data platforms using AWS/Azure, Databricks and Snowflake, translating Oil & Gas or Manufacturing objectives into scalable data and AI solutions while practicing Agile
USEReady is a global analytics and data management solutions company that helps enterprises harness the power of data to drive smarter decisions. With a strong presence across North America, USEReady partners with Fortune 500 companies to deliver end-to-end analytics, BI, data engineering, and AI/ML solutions. Our Bangalore office serves as a key hub for our finance, technology, and delivery operations.
Lead end-to-end delivery of large-scaleData Engineering, Analytics, and AI/ML programs, managing scope, schedule, budget, risks, and stakeholder expectations across multiple workstreams.
Drive the design and implementation ofcloud-based data platforms, data lakes, ETL/ELT pipelines, data governance, and AI solutionsleveraging technologies such as AWS, Azure, Databricks, Snowflake, and modern AI frameworks.
Partner with business leaders, domain SMEs, data scientists, architects, and engineering teams to translateOil & Gas operational objectives(upstream, midstream, downstream) orManufacturinginto 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 leverageAI/ML, Predictive Analytics, Data and Automationto optimize business processes, enhance data‑driven insights, and deliver measurable business value.
15+ years in IT with 5+ years managing Data Engineering, Analytics, or AI programs.
Strong domain experience inOil & GasorManufacturing.
PMP/Prince2 and Agile/Scrum certifications preferred.
Experience managing multi-million‑dollar transformation programs and executive stakeholders.