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Manager - Data Analytics & Innovation T500-23186

Job in 500001, Hyderabad, Telangana, India
Listing for: ANSR
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below
Position: Manager - Data Analytics & Innovation [T500-23186]
ANSR is hiring for one of its clients.

About American Airlines:

To Care for People on Life's Journey®. Together with our American Eagle regional partners, we offer thousands of flights daily to more than 350 destinations in more than 60 countries.

American Airlines is transforming the way it delivers technology to its customers and team members worldwide.

American’s Tech Hub in Hyderabad, India, is our latest technology office location and home to team members who drive technical innovation and engineer unrivalled digital products to best serve American’s customers and team members. With U.S. tech hubs in Dallas-Fort Worth, Texas and Phoenix, Arizona, our new team in Hyderabad, India enables better support of our 24/7 operation and positions American to deliver industry-leading technology solutions that create a world-class customer experience.

MANAGER, DATA ANALYTICS & INNOVATION

INTRO:

Are you ready to explore a world of possibilities? Join our American Airlines family, and you’ll grow your expertise, and become the best version of you. As you embark on a new journey, you’ll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop onboard!

WHY YOU’LL LOVE THIS JOB:

The Manager, Data Analytics & Innovation is part of the Revenue Management Organization. This role is responsible for expanding the capabilities of the Revenue Management Continuous Improvement team to enhance decision-making and embed innovation into revenue operations. It accelerates process improvements through structured methodologies and delivers analytical insights that support faster, data-informed decisions across entity teams. The role also drives the adoption of emerging technologies, including AI and automation, to transform how insights are generated and applied in pricing and revenue strategies.

This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.

- Lead and develop a high-performing team of analysts, fostering a culture of integrity, accountability, inclusion, and continuous improvement
- Partner with Pricing and Yield Management teams to understand requirements, clarify scope and desired outcomes, and translate business needs into technical specifications, development plans, and delivery timelines throughout design, prototyping, and rollout
- Drive the development and deployment of GenAI, Agentic AI, and ML–powered agents that transform Revenue Management workflows
- Provide hands on technical direction to analysts and guide the team in applying advanced AI and ML methods to eliminate manual work and accelerate decision cycles
- Manage a portfolio of analytics and decision acceleration initiatives, define priorities based on business value, and coordinate development, testing, and deployment of scalable data driven and AI driven solutions
- Create standardized metrics, dashboards, and performance reporting to support regular business reviews and executive storytelling
- Provide technical leadership across Revenue Management by promoting the adoption of cutting edge analytical and AI technologies
- Own the lifecycle of analytical and AI-driven models and agents, including experimentation, validation, operationalization, and continuous improvement
- Champion an innovation first mindset and a culture of experimentation where ideas move quickly from concept to impact, ensuring innovation isn’t just a buzzword but a measurable advantage for the business
- Ensure governance and compliance by enforcing data privacy, security, and quality standards, and maintaining clear documentation and controls
- Communicate technical concepts, model behavior, and design tradeoffs to non technical stakeholders to drive clarity, adoption, and business alignment
- Ability to work across time zones while operating…
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