New opportunity

Senior IT Manager - I&O and AI

Medtronic · Hyderabad, India

About this role

Medtronic’s Enterprise AI Platform team develops secure, scalable, production-ready AI capabilities, including the Gestalt AI Platform, and supports AIOps initiatives. In this product owner role, the Senior IT Manager - I&O and AI will define product strategy and guide delivery of enterprise AI platform capabilities that meet business, operational, and security objectives.

Responsibilities

  • Own and prioritize the product backlog; define features, user stories, and acceptance criteria; and maintain a roadmap aligned with platform strategy, business priorities, and release cycles.
  • Translate platform strategy into sprint objectives and engineering work. Lead backlog refinement, sprint planning, and release-readiness activities within Agile delivery frameworks.
  • Coordinate engineering teams and manage dependencies, risks, and blockers. Work with architecture, engineering, QA, UX, infrastructure, operations, and business stakeholders to support execution and platform stability.
  • Communicate priorities, roadmap progress, risks, and delivery status to stakeholders and leadership. Support deployments and post-release hypercare while balancing customer needs, architecture, security, and technical priorities.

Required qualifications

  • Bachelor’s degree and a minimum of 5 years of experience as a Product Owner or Technical Product Manager supporting enterprise software or platform products.
  • Experience with Agile and Scrum, delivering enterprise software platforms in a global environment, and managing backlogs, prioritization, and roadmaps across cross-functional teams.
  • Technical experience with cloud platforms, APIs, AI technologies, or platform engineering solutions.

Preferred qualifications

Experience with AI and LLMs; Kubernetes and containerized environments; DevOps and CI/CD; ServiceNow and enterprise service management; SQL or NoSQL databases; observability or monitoring tools such as SolarWinds or Nexthink; and influencing stakeholders across global teams.

The full-time position is based at Medtronic’s Hyderabad facility under a Flex work arrangement. No travel is required. Medtronic offers a flexible benefits package, and the position is eligible for the short-term Medtronic Incentive Plan; no salary amount is stated.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Product ownershipProduct strategyProduct roadmappingBacklog managementUser storiesAcceptance criteriaAgileScrumStakeholder managementCross-functional collaborationEnterprise software platformsCloud platformsAPIsArtificial intelligencePlatform engineeringLarge Language ModelsKubernetesContainerizationDevOpsCI/CDServiceNowEnterprise service managementSQLNoSQLObservabilitySolarWindsNexthinkAIOps

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A focused preparation guide, built around this job’s responsibilities and requirements.

✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01

Understand the role

What matters most

  • Set platform direction and priorities

    The Product Owner defines strategy, owns the backlog, and maintains a roadmap aligned with business priorities, platform outcomes, and release cycles. Prepare an example of how you made and explained platform prioritization decisions.

  • Turn strategy into deliverable work

    The role defines features, user stories, acceptance criteria, and sprint objectives, and leads refinement and sprint planning. Prepare to show how you made technical work clear enough for engineering and QA to execute and validate.

  • Coordinate cross-functional delivery

    The posting calls for coordinating engineering pods, managing dependencies and blockers, and partnering with architecture, UX, infrastructure, operations, and business stakeholders. Prepare an example that shows how you resolved a delivery dependency and communicated its effect on the roadmap.

  • Protect production readiness

    The team develops secure, scalable, production-ready AI capabilities, including the Gestalt AI Platform, and supports AIOps initiatives. The role balances security and architecture with customer needs, supports release readiness and deployments, and partners with operations during hypercare.

Likely challenges to think through

  • Balancing demand against platform safeguards

    A likely trade-off is delivering requested AI capabilities quickly while preserving security, scalability, and architectural integrity; the posting identifies all of these as product-decision concerns. Prepare a concrete example of what you deferred or changed, why, and how you secured stakeholder alignment.

  • Keeping delivery aligned across teams

    Because the role manages dependencies across engineering pods and other functions in a global environment, a plausible difficulty is maintaining a credible release plan when teams have competing timelines. Prepare to explain how you surfaced blockers early, adjusted scope or sequencing, and reported risks to leadership.

  • Moving from release to stable operation

    The stated responsibility for deployments, hypercare, and platform stability suggests a potential tension between shipping new capabilities and addressing operational issues. Prepare an example of how you used readiness criteria and post-release feedback to decide what needed attention next; this is a preparation hypothesis, not a reported Medtronic problem.

03

Practice your answers

Technical practice

Suggested practice: How would you prioritize an enterprise AI platform backlog and roadmap?

What to coverThe role owns backlog priorities and a roadmap aligned with platform strategy, business priorities, and release cycles. In a suggested answer, explain how you would weigh platform outcomes, dependencies, operational needs, and security, then make trade-offs visible to stakeholders.

Suggested practice: How would you turn a platform capability into user stories and acceptance criteria?

What to coverThe posting assigns the Product Owner responsibility for features, stories, and acceptance criteria. As preparation, describe how you would define the user need, boundaries, and testable outcomes with engineering and QA without prescribing an implementation prematurely.

Suggested practice: How would you translate platform strategy into sprint objectives?

What to coverThe role leads backlog refinement and sprint planning within Agile delivery frameworks. As a suggested answer, explain how you would select ready work, agree on a coherent objective, and adjust scope when capacity or priorities change.

Suggested practice: How would you manage dependencies and blockers across engineering pods?

What to coverThe posting explicitly calls for coordinating pods and managing delivery dependencies, risks, and blockers. As preparation, discuss identifying critical handoffs early, assigning owners, and escalating decisions before they threaten delivery.

Suggested practice: How would you resolve a conflict between a customer request and platform security or architecture?

What to coverThe role balances customer needs with architecture, security, and technical priorities. In a suggested answer, compare the value and risk of available options, involve the relevant specialists, and explain the decision and its consequences.

Suggested practice: What would you consider when defining a cloud-based platform API capability?

What to coverCloud platforms and APIs are among the technical experience areas named in the posting. As preparation, discuss consumer needs, interface stability, access controls, scalability, and operational support as considerations rather than claiming a specified design.

Suggested practice: How would you evaluate a proposed AI or LLM platform capability for production use?

What to coverThe team develops secure, scalable, production-ready AI capabilities; LLM experience is listed as a nice-to-have. In a suggested answer, define the intended value and discuss how you would assess quality, security, operational cost, and readiness before prioritizing delivery.

Suggested practice: How would containerization and CI/CD affect a platform release plan?

What to coverKubernetes, containerized environments, DevOps, and CI/CD are listed as nice-to-haves, not required tools for a specified project. As preparation, explain how deployment automation, testing, rollback options, and coordination with operations could affect release risk and timing.

Suggested practice: How would you use monitoring signals to prioritize AIOps platform work?

What to coverThe team supports AIOps, and observability tools, SolarWinds, Nexthink, and enterprise service management are listed as nice-to-haves. In a suggested answer, explain how you would distinguish actionable reliability problems from noisy signals and validate whether a proposed capability improves operations.

Suggested practice: What would you check before a platform release, and how would you handle hypercare?

What to coverThe Product Owner leads release-readiness activities and supports deployments and post-release hypercare with operations. As preparation, describe evidence from QA and operational stakeholders, a decision on unresolved risks, and how you would track and prioritize issues after release.

Behavioural practice

Suggested practice: Tell me about a time you reconciled competing stakeholder priorities.

What to coverThe role requires prioritization across business and technical stakeholders. Use a real situation, your actions to surface trade-offs and reach a decision, and the resulting outcome.

Suggested practice: Tell me about a time you influenced a global, cross-functional team without direct authority.

What to coverThe posting calls for global platform delivery and lists stakeholder influence as a nice-to-have. Describe a real situation, how you aligned participants across functions or locations, and what changed as a result.

Suggested practice: Describe a delivery blocker you had to resolve across teams.

What to coverCoordinating engineering pods and managing blockers are stated duties. Give a real situation, the steps you took to clarify ownership or escalate the dependency, and the effect on delivery.

Suggested practice: Tell me about a time you communicated an unwelcome delivery risk to leadership.

What to coverThe role communicates roadmap progress, risks, and delivery status to leadership and stakeholders. Use a real situation, explain how you presented the risk and options, and state the decision or result.

Suggested practice: Describe a time you worked with operations after a release.

What to coverThe posting calls for deployment support and hypercare in partnership with platform operations. Share a real situation, your actions to assess and prioritize post-release issues, and the operational outcome.

02

Sharpen your knowledge

Topics to prepare

  • Enterprise AI platform product strategy

    Exercise: Given a hypothetical request for a new AI platform capability, explain how you would weigh business value, customer needs, security, architecture, and operational stability. The posting makes these trade-offs central to the Product Owner role; it does not specify Gestalt AI Platform’s architecture.

  • Roadmaps and release cycles

    Exercise: Sketch how a platform objective becomes a sequenced roadmap, then explain what would change if a critical dependency slipped. This reflects the stated responsibility to align platform strategy, business priorities, and release cycles.

  • Agile and Scrum delivery

    Exercise: Walk through how a roadmap item moves through backlog refinement, sprint planning, sprint objectives, and release readiness. Agile and Scrum experience and leadership of these activities are explicitly stated.

  • Cloud, APIs, AI, and platform engineering

    Exercise: Choose one of these technical areas and explain its implications for an enterprise platform’s scalability, security, and operations. The posting requires technical experience with at least one of these areas, not every one.

  • Platform operations and preferred technologies

    Exercise: Trace a hypothetical post-release issue from monitoring through operational response and backlog reprioritization. The role supports deployments, hypercare, and platform stability; AIOps, observability, ServiceNow, Kubernetes, CI/CD, databases, and LLMs appear as team context or nice-to-haves, not blanket requirements.

Skills to revise

  • Prioritize a cross-functional backlog

    Exercise: Rank five hypothetical platform requests, record the value, security, technical, and dependency trade-offs, and propose a roadmap adjustment. Backlog ownership, prioritization, and roadmap execution are explicit responsibilities.

  • Write delivery-ready stories

    Exercise: Turn one hypothetical platform capability into a feature, two user stories, and testable acceptance criteria. The posting explicitly calls for defining all three for engineering delivery.

  • Plan work across engineering pods

    Exercise: Draft a sprint objective and a dependency-and-blocker list, with proposed owners across engineering, architecture, QA, infrastructure, and operations. The role coordinates pods and cross-functional execution within Agile delivery.

  • Communicate delivery and release risk

    Exercise: Prepare a brief leadership update covering roadmap progress, a release-readiness decision, one risk, and a hypercare handoff. These reflect stated communication, deployment-support, and post-release responsibilities.

04

Your preparation checklist

  • Map the required experience to evidence

    Prepare a one-page matrix with examples of product ownership or technical product management, Agile and Scrum delivery, global enterprise platforms, cross-functional roadmaps, and relevant cloud, API, AI, or platform engineering work. Note the posting’s bachelor’s degree and minimum five-year requirement without assuming your background.

  • Prepare a platform product walkthrough

    Choose a real enterprise software or platform example, if available. Be ready to explain the problem, product strategy, stakeholders, prioritization decisions, delivery outcomes, and your specific role; use actual measures where you have them.

  • Draft a sample roadmap and backlog

    Create a clearly hypothetical AI-platform exercise with a release-oriented roadmap, ranked features, two user stories, acceptance criteria, and a sprint objective. Explain how business value, security, architecture, and operational needs affect the ranking.

  • Practice a platform design discussion

    Sketch how you would evaluate a proposed enterprise AI capability for secure, scalable, production-ready delivery. Cover likely cloud or API dependencies, operational stability, and tradeoffs; treat any LLM or Kubernetes choices as options, not stated requirements.

  • Rehearse delivery and release decisions

    Prepare an example of coordinating engineering pods and partners across architecture, QA, UX, infrastructure, and operations. Show how you handled a blocker, communicated risk, assessed release readiness, and supported deployment or hypercare.

  • Select evidence for preferred technologies

    For any experience you actually have, prepare brief examples involving LLMs, containers, CI/CD, ServiceNow, databases, or observability. The posting lists these as nice-to-haves, so distinguish hands-on work from general familiarity.

  • Write questions for the employer

    Bring questions about Gestalt AI Platform and AIOps priorities, how the Product Owner sets roadmap tradeoffs, what defines platform success, and how global teams share release and hypercare responsibilities.

AI-generated from the job information · Prepared Sep 29, 2026 (UTC)Useful preparation, not a guarantee of eligibility or an offer.

Availability last checked: 5 Nov 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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