Engineering Manager at Experian

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

14 Oct, 26

Salary

0.0

Posted On

16 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Distributed Systems, Data Engineering, Cloud-native Systems, AWS, Microservices Architecture, Data Pipelines, API Design, Event-driven Systems, CI/CD, Java, Python, Scala, Agile, People Management, Stakeholder Management, AI/ML

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. Job Description We are looking for an Engineering Manager to lead one or more teams building scalable data and AI-driven platforms in the Financial Crime Compliance (FCC) domain. You will blend technical leadership, delivery ownership, and people management, with a focus on building resilient, cloud-native systems and driving innovation through AI and automation. You bring 8+ years of experience in distributed systems, data engineering, and modern software delivery, along with experience building and mentoring teams. Responsibilities 1. Delivery & Execution Manage delivery of complex, multi-quarter engineering programs Improve predictable execution using Agile methodologies (Scrum/Kanban) Ensure, on-time delivery in consideration of our priorities Manage dependencies across teams, platforms, and partners Track and improve important engineering metrics (velocity, quality, reliability) 2. Technical Leadership Architect and oversee scalable, secure, cloud-native systems (AWS preferred) Guide teams on best practices in: Microservices architecture Data pipelines (batch and streaming) API design and integration Event-driven systems Champion engineering excellence: Code quality, testing strategies, CI/CD pipelines Observability and production Improve adoption of AI/GenAI solutions to improve engineering efficiency and product capabilities 3. Data & AI Engineering (Preferred) Lead development of large-scale data platforms using tools like Spark, Glue, and data lakes Enable real-time and batch data processing pipelines Collaborate with data scientists to productionize ML models Ensure governance, security, and compliance (especially in regulated domains like KYC/KYB, AML) 4. People Leadership Build, mentor, and grow high-performing engineering teams Conduct hiring, onboarding, and performance management Foster a culture of ownership, innovation, and continuous improvement Provide regular feedback and career development guidance Promote diversity, inclusion, and psychological safety within teams 5. Stakeholder Management Partner closely with Product, Architecture, and Business stakeholders Translate business requirements into technical deliverables Provide clear status updates and executive-level communication Manage risks, escalations, and trade-off decisions effectively 6. Operational Excellence Ensure production stability, uptime, and incident management Drive root cause analysis and continuous improvement Optimize cost and performance of cloud infrastructure Establish robust support and runbooks for operational teams Qualifications Required Qualifications Bachelor's or Master's degree in Computer Science or related field 10–14 years of software engineering experience, with 3–5 years in a leadership role Proven track record of delivering large-scale distributed systems Strong experience with cloud platforms (AWS preferred) Hands-on experience in Java/Python/Scala or similar Deep understanding of software development lifecycle and Agile practices Preferred Qualifications Experience in Financial Crime Compliance, Fraud, or Risk systems Exposure to AI/ML and GenAI-driven product development Prior experience managing globally distributed teams Additional Information Our uniqueness is that we truly celebrate yours. Experian's strong people first approach is award winning; Great Place To Work™ in 26 countries. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Benefits Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off. #LI-Hybrid This is a hybrid role. Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Employee Status: Regular Role Type: Hybrid Department: Technology Schedule: Full Time

Responsibilities

Lead engineering teams in building scalable data and AI-driven platforms within the Financial Crime Compliance domain. Balance technical leadership and architectural oversight with people management and delivery execution using Agile methodologies.