Business Analytics Architect, Cloud

Ralph Lauren Corporation; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Ralph Lauren Corporation seeks an experienced Analytics Data Engineering Operations Manager/Sr Manager to lead the data engineering operations team. This individual will oversee the maintenance, optimization, and governance of our analytics data landscape. Strong leadership skills and technical expertise in data engineering are essential.

The ideal candidate will have hands-on experience with cloud platforms, particularly AWS, and a solid understanding of data governance. Responsibilities include managing teams, implementing processes for incident management, and ensuring data quality across systems.

Qualifications

• Strong proficiency in data engineering tools and technologies.
• Hands-on experience with cloud platforms, preferably AWS.
• Excellent leadership and communication skills.
• Strong analytical and problem-solving skills.
• Experience in project management methodologies.

Responsibilities

• Lead and manage a diverse team of data engineers and analysts.
• Oversee the allocation and utilization of resources.
• Develop processes for incident detection and response.
• Monitor system performance and troubleshoot issues.
• Establish data quality standards and governance policies.

Skills

Data engineering tools

Cloud platforms (preferably AWS)

ITIL framework

Leadership skills

Analytical skills

Project management (Agile, Scrum)

Communication skills

Education

Relevant certifications (e.g., AWS, SAFE, ITIL)

Tools

JIRA

Confluence

Job description

POSITION OVERVIEW

We are seeking an experienced Analytics Data Engineering Operations Manager/Sr Manager to lead our data engineering operations team, consisting of both internal and external resources. This individual will be responsible for overseeing the maintenance, optimization, and governance of our analytics data landscape. The ideal candidate will possess strong leadership skills, deep technical expertise in data engineering, and a proven track record of managing operations for complex analytics organizations.

ESSENTIAL DUTIES & RESPONSIBILITIES

Lead and manage a diverse team of data engineers, analysts, including both internal employees and external contractors or vendors.

Provide guidance, mentorship, and support to all team members to ensure high performance, collaboration, and professional development.

Foster a culture of accountability, innovation, continuous improvement & customer focus within the team.

Resource Management:

Oversee the allocation and utilization of internal and external resources to ensure efficient project execution and delivery.

Collaborate with internal stakeholders and external partners to define project requirements, timelines, and resource needs.

Manage relationships with external vendors or contractors, ensuring adherence to service level agreements (SLAs) and contractual obligations.

Incident and Problem Management:

Develop, implement & enhance processes for incident detection, response, resolution, and escalation.

Lead root cause analysis efforts to identify underlying issues and implement preventive measures to minimize future incidents.

Infrastructure Management:

Monitor system performance, troubleshoot issues, and implement solutions to ensure the stability, availability, and security of the data platform.

Ensure the availability, reliability, and scalability of systems to meet business needs and service level agreements (SLAs).

Quality Assurance and Governance:

Establish and enforce data quality standards, data governance policies, and compliance requirements across internal and external data engineering teams.

Implement monitoring and testing procedures to ensure data accuracy, consistency, and integrity, collaborating with both internal and external stakeholders.

Address data quality issues and drive continuous improvement initiatives, leveraging the expertise of internal and external resources.

Project Management:

Plan, prioritize, and manage projects, ensuring effective utilization of internal and external resources to achieve project goals and deliverables.

Collaborate with business teams and IT teams to manage change ensuring a seamless change process.

Manage relationships with third‑party vendors and service providers, including negotiating contracts, monitoring performance, and resolving issues.

Evaluate vendor products and services to ensure they meet business requirements and deliver value.

EXPERIENCE, SKILLS & KNOWLEDGE

• Strong proficiency in data engineering tools and technologies, including but not limited to data warehouses, ETL processes, and data governance frameworks.
• Hands‑on experience with cloud platforms (preferably AWS) and big data technologies (e.g., Databricks, Spark, Hive etc).
• Strong knowledge and experience of ITIL framework and best practices for IT service management.
• Excellent leadership and communication skills, with the ability to effectively manage internal and external stakeholders and drive consensus on important decisions.
• Strong analytical and problem‑solving skills, with a keen attention to detail and a commitment to delivering high‑quality solutions.
• Experience in project management methodologies (e.g., Agile, Scrum) and tools (e.g., JIRA, Confluence) is a plus.
• Relevant certifications (e.g., AWS, SAFE, ITIL) are highly desirable.