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Program Manager - Digital Product(AI/ML) - Associate Director
India - Hyderabad
·
On-site
·
Full-time
·
1w ago
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Flexible Hours
•Learning Budget
•Healthcare
•401k
•Equity
•Flexible Hours
•Learning
Required Skills
Program management
AI/ML knowledge
Agile delivery
Stakeholder management
Leadership
Communication
Governance
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:
The Program Manager will lead Amgen’s AI/ML Innovation Lab at the Hyderabad Innovation Center, overseeing end-to-end delivery, stakeholder engagement, and execution across multiple teams developing AI/ML and GenAI solutions for R&D, Manufacturing, IT, and Commercial functions. The role includes close collaboration with global AI/ML leadership and partners to ensure compliance, quality, and innovation.
Key Responsibilities
- Drive overall program planning, execution, and delivery governance for the AI/ML Innovation Lab.
- Partner with domain SMEs and business stakeholders to define PoC, Pilot, and MVP roadmaps.
- Establish and manage cross-functional agile teams, ensuring timely and high-quality outcomes.
- Define KPIs and success metrics for innovation outcomes and report to Amgen leadership.
- Oversee resource allocation, risk management, and vendor coordination.
- Ensure all activities adhere to Amgen’s regulatory, data privacy, and compliance frameworks.
- Maintain documentation, dashboards, and communication across all Po Ds and functional leads.
- Foster a culture of collaboration, transparency, and continuous innovation.
Required Qualifications
- 12–18 years of experience managing complex, multi-stakeholder programs.
- Proven record in AI/ML, Data Science, or Digital Transformation delivery.
- Strong experience with Agile delivery, program governance, and metrics reporting.
- Background in pharmaceutical, biotech, or regulated industry preferred.
- Excellent communication, stakeholder management, and leadership skills.
- Hands-on familiarity with cloud (AWS) and data engineering/ML ecosystems desirable.
Preferred Skills
- Experience managing hybrid onshore-offshore delivery teams.
- Exposure to GenAI projects, model governance, and MLOps.
- PMP / SAFe / Agile Program Management certification a plus.
- Ability to influence senior business and technical stakeholders.
- Product Management or consulting experience is a bonus experience
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 accommodation.
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About Amgen
Reviews
3.8
2 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
3.0
Career
4.0
Management
3.0
70%
Recommend to a Friend
Pros
Professional development opportunities
Exposure to diverse functions and projects
Large-scale project experience
Cons
Understaffed with high output expectations
Limited permanent job opportunities
Temporary contract limitations
Salary Ranges
1,544 data points
L2
L3
L4
L5
L6
L2 · Financial Analyst L2
0 reports
$94,068
total / year
Base
$37,627
Stock
$47,034
Bonus
$9,407
$65,848
$122,288
Interview Experience
3 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 33%
Negative 67%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Round Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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