Program Manager – Data Governance, LMAQ

Amazon is hiring a Program Manager – Data Governance, LMAQ in Hyderabad, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
The posting mentions data governance, risk management and compliance among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Program Manager defining AI compliance frameworks, conducting AI audits, and monitoring AI and data privacy regulations.

data-governancerisk-managementcomplianceauditdata-privacy

Amazon.com’s success is built on a foundation of customer obsession. Have you ever thought about what it takes to successfully deliver millions of packages to Amazon customers seamlessly every day like a clock work? To make that happen, behind those millions of packages, billions of decision get made by machines and humans. Last Mile Technology team make this happen. The Last Mile Analytics and Quality team (LMAQ) works within Last Mile Tech to bridge the automation gaps on problems where no technology exists or the tech solution is in the works. The team has an eco-system of quality specialists, program managers and BI Engineers working together to improve geo-spatial data quality and support the driver lifecycle & experience programs.

As the team expands, we need a Data Governance Framework to identify and eliminate data and information security risks (current and future). The program manager will define the framework working with the program and tech teams, benchmarking and adopting the best practices from different teams across Amazon. Individual will own the framework and conduct the audits at regular cadence.

Key job responsibilities
The successful candidate will :
• Be a custodian of the data usage risks when liaising with internal teams to help drive tools and process improvements that affect secure management workflows
• Proactively identify pain points and opportunities for continual secure process simplification and improvement to create program efficiencies
• Monitor existing metrics, analyze data, and partner with other internal teams (e.g., engineering, finance, Business Operations, technical operations, Business Intelligence, Product management, Partnership, legal & public policy) to identify process and system improvement opportunities.
• Create compliance frameworks for use of AI technologies enabling stakeholders to understand and implement compliance requirements.
• Conduct AI reviews and audits to identify risks and implement risk mitigation measures. Collaborate with stakeholders to implement risk mitigation measures and monitor risks.
• Monitor AI and Data privacy regulations and advise business leaders and tech teams on emerging regulatory challenges.
• Create and publish Data Privacy risk review reports for leaders detailing the risks, root causes, impacts, risk mitigation measures, action owners and risk closure timelines. Monitor all the identified risks.
• Work towards improving the data privacy risk review process, improving the quality of the risk register, and identifying opportunities for automation and tools improvements.
• Drive the "Data Governance Training and Awareness Program," in collaboration with LMAQ Learning & Development Team, providing data handling training and data security Do's and Don'ts to the employees.
• Provide privacy-by-design and AI use guidance to business teams creating new use cases for analyzing customer data.
• Maintain comprehensive, high quality & up-to-date program & policy documentation that clearly outlines risks mitigations, standards, controls & policies.
• Periodically conduct internal audits & reviews on controls & processes to identify gaps & strengthen controls.
• Collaborate with internal information security, fraud and abuse teams to identify & mitigate risks.
• Act as single-threaded owner ensuring compliance requirements are implemented by establishing project plans, defining owners and milestones, reporting status to senior management and driving towards launch approval
• Work with product management and engineering teams to prioritize scalable technology solutions to enable business growth within compliance standards.
• Create clear compliance requirements for tech and product teams to translate into engineering requirements

Basic qualifications

- Experience in program or project management
- 7+ years of data governance, data privacy, risk management, use case/tool audits and reviews
- Bachelor's degree or equivalent
- Experience with data privacy laws including GDPR, DPDPA, etc.
- Experience owning/driving roadmap strategy and definition
- Experience with risk management, information security or compliance framework management
- Experience with stakeholder management including tech teams

Preferred qualifications

- Experience of working in an product engineering organization
- Experience in influencing senior leadership through data driven insights
- Software development experience, or experience of working closely with the tech, BI and DE teams

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Program Manager – Data Governance, LMAQ at Amazon rates 55 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Program Manager – Data Governance, LMAQ is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in IN, TS, Hyderabad.
The job was posted on September 11, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data GovernanceRisk ManagementComplianceAuditData Privacy

Questions you could be asked

Tell me about a project where data governance was part of your work. What did you do?
Tell me about a project where risk management was part of your work. What did you do?
Tell me about a project where compliance was part of your work. What did you do?
Tell me about a project where audit was part of your work. What did you do?
Tell me about a project where data privacy was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Governance, Risk Management, Compliance, Audit, and Data Privacy. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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