New opportunity

Senior Manager, Analytics Products and Technology - Obesity

Amgen · Hyderabad, India

About this role

This is an India-based global role supporting Amgen's global obesity business. The Senior Manager, Analytics Products & Technology will own the development and evolution of business-facing products that enable leaders to move from insight to action with clarity and speed, playing a key part in advancing AI-enabled capabilities and intelligent automation across the organization.

Responsibilities

Own the product roadmap for Gateway, SKU Solver, and related decision-support capabilities.
Shape user journeys, requirements, backlogs, and success criteria that connect product work to business decisions.
Turn complex workflows into simple product concepts, intuitive experiences, and practical solution designs.
Lead delivery of business-facing tools, product enhancements, dashboards, and workflow applications from concept through release.
Serve as the first-line product lead for practical AI-enabled tools and intelligent automation opportunities.
Coordinate with data science, technology, privacy, security, legal, and compliance partners to prototype and deploy custom solutions.
Own product adoption plans, usage metrics, feedback loops, and value realization tracking.
Lead an India-based product and technology pod and manage vendor and partner work.

Required qualifications

Doctorate degree and 4+ years of relevant experience; OR
Master's degree and 8+ years of relevant experience; OR
Bachelor's degree and 10+ years of relevant experience.

Preferred qualifications

Advanced degree in Computer Science, Engineering, Information Systems, Analytics, Data Science, Business, Life Sciences, or a related field.
Demonstrated experience owning and evolving business-facing products, analytics platforms, or decision-support capabilities.
Experience evaluating, prototyping, or deploying AI-enabled capabilities, intelligent automation, or decision-support solutions in an enterprise environment.
Demonstrated success building and scaling products that improved business decision-making or operational efficiency.
Experience influencing cross-functional stakeholders, engineering teams, and business leaders in a global environment.
Excellent executive communication skills.

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

Skills for this role

Product StrategyProduct RoadmapAI-enabled solutionsIntelligent automationDecision-support systemsData ScienceAnalyticsUser Experience DesignVendor ManagementCross-functional leadershipChange management

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Driving Product Adoption and Value Realization
The role requires moving beyond feature delivery to ensure products like Gateway and SKU Solver are indispensable to daily business operations. You must demonstrate how you track usage metrics, gather user feedback, and iterate to ensure tools directly improve decision-making speed and clarity.
Translating Complex Business Needs into Scalable Solutions
You are expected to bridge the gap between complex organizational workflows and intuitive product design. This involves challenging unnecessary complexity and ensuring that every product enhancement is grounded in practical business impact rather than technical experimentation.
Leading AI and Automation Integration
As the first-line product lead for AI, you must identify where AI or intelligent automation provides genuine leverage. This requires coordinating across data science, legal, and compliance teams to deploy solutions that are not only innovative but also secure, validated, and aligned with enterprise standards.
Cross-Functional Stakeholder Management
Success depends on influencing diverse global stakeholders, including commercial, medical, and technology partners. You must be able to communicate complex technical strategies to senior leadership while managing vendor performance and coaching an India-based pod to maintain high delivery standards.

Likely challenges to think through

Balancing Innovation with Enterprise Rigor
Amgen operates in a highly regulated environment. The challenge is to maintain the speed of an agile product team while adhering to strict privacy, security, and compliance guardrails. Prepare by discussing how you have navigated similar constraints without stalling product momentum.
Managing Ambiguity in Global Operations
The role involves supporting a global obesity business from an India-based hub. You will likely face conflicting requirements from different regional stakeholders. Prepare to explain your framework for prioritizing backlogs when faced with competing business needs and limited resources.
Driving Behavioral Change Through Technology
Building a tool is only half the battle; the harder task is ensuring users change their established workflows to adopt it. Be ready to discuss your experience with change management and how you have successfully transitioned teams from legacy processes to new, AI-enabled digital solutions.

Practice your answers

Technical practice

Product Roadmap Prioritization

What to coverExplain your framework for prioritizing features in a decision-support product. Focus on how you balance user value, technical feasibility, and business impact while managing stakeholder expectations.

AI and Automation Implementation

What to coverDescribe your process for evaluating whether a business problem requires an AI-enabled solution versus traditional automation. Emphasize how you ensure the solution is practical, scalable, and provides measurable business impact.

Managing Complex Workflows

What to coverHow do you translate complex, ambiguous business workflows into intuitive product designs? Provide an example of how you have simplified a process to improve user adoption and decision-making speed.

Product Adoption and Value Realization

What to coverWhat metrics do you use to measure the success of an internal business tool beyond just feature delivery? Discuss how you track value realization and use feedback loops to iterate on product capabilities.

Cross-Functional Collaboration

What to coverDescribe your approach to working with data science, legal, and compliance teams when deploying AI tools. Explain how you manage the trade-offs between innovation speed and necessary enterprise guardrails.

Vendor and Partner Management

What to coverHow do you ensure vendor deliverables align with internal quality, documentation, and supportability standards? Discuss your strategy for maintaining ownership and knowledge transfer when working with external partners.

Technical Debt and Maintenance

What to coverHow do you balance the need for rapid delivery of new features with the long-term maintainability of analytics platforms? Explain your approach to managing technical debt in a high-growth environment.

Executive Communication

What to coverHow do you translate complex technical or data-driven concepts into clear, actionable recommendations for senior leadership? Focus on how you align diverse stakeholders around a unified product strategy.

Behavioural practice

Handling Conflicting Stakeholder Priorities

What to coverDescribe a situation where you had to align multiple stakeholders with competing interests on a product roadmap. Explain the steps you took to reach a consensus and the final outcome.

Driving Change Management

What to coverProvide an example of a time you introduced a new tool or process that faced resistance from end users. How did you manage the transition and ensure successful adoption?

Leading Through Ambiguity

What to coverTell me about a time you were tasked with building a product in an ambiguous environment. How did you define the scope, success criteria, and initial requirements to move the project forward?

Coaching and Team Development

What to coverDescribe your approach to coaching team members to improve their product judgment and technical curiosity. Give an example of how you helped a team member grow their accountability for project outcomes.

Sharpen your knowledge

Topics to prepare

Enterprise AI Governance and Guardrails
Review frameworks for deploying AI in regulated environments, focusing on human oversight, validation, and compliance. This is critical for the role's responsibility to coordinate with privacy, security, and legal partners when deploying AI-enabled tools.
Product Value Realization and Adoption Metrics
Study methodologies for measuring product success beyond feature delivery, specifically focusing on user adoption, decision impact, and operational efficiency. This aligns with the requirement to own value realization tracking and feedback loops.
Decision-Support System Design
Explore concepts in translating complex business workflows into intuitive, actionable product interfaces. This is relevant to the mandate of evolving tools like Gateway and SKU Solver to help leaders move from insight to action.

Skills to revise

Product Roadmap Prioritization
Practice creating a prioritized backlog that balances technical feasibility, business value, and risk. Use a mock scenario to justify trade-offs between new feature development and long-term maintainability.
Cross-Functional Stakeholder Influence
Develop techniques for communicating technical product strategies to non-technical executive leaders. Prepare to explain how you align diverse teams—such as data science, engineering, and commercial—around a unified product vision.
Vendor and Partner Management
Refine your approach to managing external vendors, focusing on setting clear expectations for scope, quality, and documentation. This is essential for leading the India-based pod and managing external partner work.

Your preparation checklist

Prepare a case study on decision-support product lifecycle
Develop a structured walkthrough of a business-facing analytics product you owned from concept to adoption. Highlight how you defined success metrics, managed backlogs, and specifically how you measured the impact on business decision-making speed or accuracy.
Draft an AI and automation implementation framework
Create a brief document outlining your approach to evaluating AI/automation opportunities in an enterprise setting. Include how you balance technical feasibility with business value, manage cross-functional stakeholders (legal, compliance, data science), and establish necessary guardrails for human oversight.
Refine your executive communication strategy
Prepare to explain complex technical concepts or product trade-offs to non-technical senior leaders. Practice summarizing a high-stakes project by focusing on the 'why' behind the strategy, the business problem solved, and the tangible value realized rather than just the technical features.
Formulate questions on product adoption and operations
Prepare thoughtful questions for the interviewers regarding how they currently measure product adoption, the primary friction points in their existing decision-support workflows, and how the team balances new feature development with maintaining existing enterprise tools.
Map your experience to cross-functional leadership
Prepare specific examples of how you have influenced diverse stakeholders, including engineering teams and external vendors, to align on a product roadmap. Be ready to discuss how you manage vendor quality and ensure knowledge transfer within a global, matrixed organization.

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