Base Career helps you apply smarter for this job.
Key skills for this role
• Provide technical leadership and architectural direction for enterprise digital analytics platforms, including web, mobile, and event‑driven data instrumentation.
• Design and oversee implementation of scalable, cloud‑native architectures , supporting real‑time and near‑real‑time data processing.
• Lead and mentor teams of software engineers , offering technical guidance through design reviews, implementation standards, and solution evaluations.
• Define and maintain engineering best practices for data quality, testing, deployment automation, and CI/CD pipelines.
• Drive a mindset of continuous improvement within the team , including initiatives for automation, AI, and modernization.
• Collaborate closely with your U.S.-based colleagues, product managers, analysts, marketers, and architects and lead your team to translate business requirements into detailed technical specifications and implementation designs .
• Remain actively involved in technical decision‑making , including reviewing complex implementations, evaluating tools, and resolving advanced data and instrumentation issues.
• Drive modernization initiatives , including migration to server‑side tagging, cloud services, automation, and AI/ML‑enabled analytics capabilities.
• Ensure analytics solutions comply with data governance, privacy, and security standards , including GDPR, CCPA, and enterprise cybersecurity requirements.
• Provide technical leadership within Agile and Kanban delivery models, supporting planning, execution, and continuous improvement.
Provide technical leadership and architectural direction for enterprise digital analytics platforms, including web, mobile, and event‑driven data instrumentation.
Design and oversee implementation of scalable, cloud‑native architectures , supporting real‑time and near‑real‑time data processing.
Lead and mentor teams of software engineers , offering technical guidance through design reviews, implementation standards, and solution evaluations.
Define and maintain engineering best practices for data quality, testing, deployment automation, and CI/CD pipelines.
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
Boston, USA
Boston, USA
Houston, USA
Chennai, IND
Chennai, IND
Waterloo, USA
Boston, USA
Boston, USA
Charlotte, USA
Chicago, USA
Houston, USA
Drive a mindset of continuous improvement within the team , including initiatives for automation, AI, and modernization.
Collaborate closely with your U.S.-based colleagues, product managers, analysts, marketers, and architects and lead your team to translate business requirements into detailed technical specifications and implementation designs .
Remain actively involved in technical decision‑making , including reviewing complex implementations, evaluating tools, and resolving advanced data and instrumentation issues.
Drive modernization initiatives , including migration to server‑side tagging, cloud services, automation, and AI/ML‑enabled analytics capabilities.
Ensure analytics solutions comply with data governance, privacy, and security standards , including GDPR, CCPA, and enterprise cybersecurity requirements.
Provide technical leadership within Agile and Kanban delivery models, supporting planning, execution, and continuous improvement.
This is an U.S. Bancorp India posting. U.S. Bancorp India is a part of the U.S. Bank family.
Diversified financial services and banking institution.
Visit company websiteJobs and hiring trendsFull-time
Senior · 6+ years experience
Onsite
Apply faster on company sites with our extension.