Senior Project Manager
USEReady Technology Private Limited Bengaluru, Karnataka, India
Data Infrastructure and Analytics · 501-1,000 employees
About the role
Lead end-to-end delivery of large-scale data engineering, analytics, and AI/ML programs while managing scope, budget, and stakeholder expectations. Partner with cross-functional teams to design scalable data platforms and implement AI solutions that drive operational efficiency.
What they look for
Requirements
Requires 15+ years of IT experience with at least 5 years specifically in data engineering, analytics, or AI program management. Strong domain expertise in Oil & Gas or Manufacturing is preferred, along with PMP/Prince2 and Agile/Scrum certifications.
Full description
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.
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 Oil & Gas operational objectives (upstream, midstream, downstream) or Manufacturing 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.
- Strong domain experience in Oil & Gas or Manufacturing.
- PMP/Prince2 and Agile/Scrum certifications preferred.
- Experience managing multi-million-dollar transformation programs and executive stakeholders.
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