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Salary
$34k – $76k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Staff · 10+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Experian is a global information services and data analytics company best known as one of the "Big Three" credit reporting agencies (alongside Equifax and TransUnion). Headquartered in Dublin, Ireland, with operational centers in the US, UK, and Brazil, the firm collects and manages credit and financial data on hundreds of millions of consumers and businesses worldwide.

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.

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
  • Ensure 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 with Product, Architecture, and Business stakeholders
  • Translate our 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

Required Qualifications

  • Bachelor's / Master's degree in Computer Science or related field
  • 10-14 years of software engineering experience, with 3-5 years in a leadership role
  • Experience delivering large-scale distributed systems
  • Experience with cloud platforms (AWS preferred)
  • Hands-on experience in Java/Python/Scala or similar
  • Experience with 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

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.

This is a hybrid role.

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

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