Career Category
Information Systems
Job Description
ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.
ABOUT THE ROLE
Role Description:
In this role, a highly motivated Senior Manager will lead a cross-functional technical team and drive innovation across the Revenue Management and data ecosystem. This role partners closely with business and IT stakeholders to deliver scalable, high-quality solutions while advancing automation and AI capabilities across operations, solution delivery, and system monitoring.
The ideal candidate brings strong experience in technical leadership, team development, and end-to-end solution delivery across platforms such as Model N, Databricks, MuleSoft, Databricks, Tableau, Power BI, and AWS Redshift. This role is responsible for driving product and data strategy, managing complex integrations, and ensuring compliance with data and regulatory standards.
A key focus of this role is to identify and deliver practical automation solutions, including workflow automation, system integration, and Generative AI, to streamline revenue management processes, reduce manual effort, and improve operational efficiency. The role works closely with Contract Pricing and Execution teams to deliver targeted, business-driven solutions.
This leader is expected to be hands-on in design and implementation, while fostering a culture of innovation, accountability, and continuous improvement across global, cross-functional teams.
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Roles & Responsibilities:
- Organizational Leadership: Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives and demonstrate leadership by contributing to strategic discussions
- Talent Growth & People Leadership: Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation. Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship.
- Work with Product Owners, Service Owners and developers/testers to ensure that delivery matches commitments, acting as a critical issue point and facilitating communication when service commitments are not met
- Lead the planning, execution, and delivery of software products and platform capabilities. Ensure releases ship on time, stay within scope and budget, deliver measurable value, and meet business objectives.
- Oversee the architecture, design, and implementation of scalable, high-performance software systems and services, including APIs, application backends, web and mobile frontends, and integrations. Champion sound engineering practices such as modular design, secure coding, automated testing, CI/CD, and operational observability.
- Lead delivery of automation solutions across Revenue Management ecosystem with a focus on efficiency, scalability, and measurable business impact.
- Identify automation opportunities and partner with stakeholders to determine the appropriate solution approach, balancing AI and non-AI methods based on value, complexity, and maintainability.
- Design and deliver solutions supporting revenue management processes.
- Enable process improvements and implement data synchronization with upstream and downstream systems such as SAP, iDNA, Contract and Pricing, Anaplan, Contract Intelligence, Customer Master, and Compass.
- Introduce AI-assisted capabilities where they provide clear business value.
- Lead rapid prototyping and iterative delivery of solutions with a focus on practical implementation.
- Establish reusable patterns and best practices for automation design, integrations, and responsible use of AI.
- Collaborate with enterprise AI and architecture teams to leverage shared tools and services while maintaining focus on domain-specific delivery.
- Oversee the software development lifecycle using Scaled Agile Framework (SAFe).
Technology Focus Areas:
- Enterprise platforms include Model N, SAP, AWS RedShift, MuleSoft, and Databricks.
- System integration patterns including APIs, event-based architectures, and data synchronization.
- Rules-based automation and system configuration for business process optimization.
- Data structures support revenue management processes.
- Generative AI & Large Language Models applied to business workflows where appropriate.
- AI copilots and assistants embedded within enterprise applications.
- Integration with enterprise AI services such as Azure OpenAI or similar platforms
Basic Qualifications and Experience
- Master’s degree with 12 - 16 years of experience in Information Systems, Computer Science, or related technical field OR
- Bachelor’s degree with 14 - 17 years of experience in Information Systems, Computer Science, or related technical field OR
AND
- 5+ years of experience managing a team of software engineers.
- 3+ years of experience leading or mentoring technical teams delivering software, automation, or system solutions.
- 2+ years of experience applying AI-enabled solutions, including Generative AI, within business workflows where appropriate.
- Demonstrated experience delivering workflow automation, system configuration, and integrations.
- Strong technical knowledge in Databricks, cloud-based ETL tools, AWS or similar platforms, Big Data, Data Lake architecture, and data integration technology.
- Experience working with cross-functional teams including product, engineering, and business stakeholders to deliver solutions aligned with operational needs.
- Strong understanding of when to apply AI-driven approaches versus deterministic automation to solve business problems effectively.
Preferred Qualifications:
- Hands-on experience with Model N, Databricks, MuleSoft, AWS RedShift in a technical, product role.
- Experience delivering workflow automation, system integrations, and process improvements across enterprise SaaS platforms.
- Experience implementing rules-based automation, workflow orchestration, and API integrations.
- Demonstrated high learning agility with a solid sense of ownership, urgency and drive
- SAFe Certification(s) and Lean-Agile Leadership experience.
- Test automation and DevOps experience; exposure to complete product development lifecycle in Agile / Scrum and DevOps environments.
- Experience with leveraging industry thought leadership, networks, and expertise to develop product technology roadmaps.
Functional Skills:
Must-Have Skills
- Excellent leadership and project management skills, with the ability to manage multiple priorities simultaneously.
- Experienced with software engineering best practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops.
- Experience working with agile development methodologies such as Scaled Agile.
- Success in mentoring and developing strong product analysts, business analysts, and developers
- Demonstrated experience in managing technology initiatives and teams with a track record of successful innovation.
- Exceptional collaboration, communication, and interpersonal skills to effectively manage stakeholder relationships and build new partnerships.
- Understands data deeply, connects the dots across systems and business needs, and thrives in complex global environments.
- Ability to strategically negotiate and solve business goals with technology solutions aligned to corporate technology and architecture standards, and negotiate investments and prioritization to deliver iteratively.
- Work across and up through the organization, including executive communication, escalation and mitigation of issues, risks, and business impacts, and presentation skills to adjust content and influence outcomes based on the audience
- Resilience in working in a dynamic environment at the speed of business, adept at operating with ambiguity and in experimenting in quick-learning cycles.
Good-to-Have Skills:
- Working knowledge of integrations and tools such as MuleSoft and Databricks
- Strong analytic/critical-thinking and decision-making abilities.
- Established business partnerships and IS governance practices involving senior business stakeholders.
- Broad working knowledge of key IS domains and layers.
- Proficiency with AI tools such as ChatGPT and Copilot.
Preferred Education and Professional Certifications
- SAFe for Teams (or other SAFe certification).
- Data Engineering / Data Analytics certification — Databricks preferred; major cloud equivalents also valued.
Soft Skills:
- Excellent leadership and team management skills.
- Strong transformation and change management experience.
- Exceptional collaboration and communication skills.
- High degree of initiative and self-motivation.
- Ability to manage multiple priorities successfully.
- Team-oriented with a focus on achieving team goals.
- Ability to work effectively with global, virtual teams.
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
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