USEReady Technology - Senior Project Manager - Data Engineering & Analytics

USEReady Inc.; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

USEReady Inc. is a Bengaluru-based leader in analytics and data management, driving end-to-end analytics, BI, data engineering, and AI/ML solutions for Fortune 500 clients. The Bangalore hub supports finance, technology, and delivery operations.

The role leads large-scale programs, partnering with global teams to deliver scalable data and AI platforms, while ensuring governance and stakeholder alignment across multiple streams.

Qualifications

• 8+ 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.

Responsibilities

• 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.

Skills

Data Engineering

Analytics

AI Programs

AWS

Azure

Databricks

Snowflake

Agile/Scrum

Stakeholder Management

Job description

Job 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.

Job 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.
Responsibilities

• 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

• 8+ 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.

(ref:hirist.tech)