Amgen India

SeniorManager-DataSciences&ArtificialIntelligence

₹35–55L ~AI est. India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Senior Manager - Data Sciences & Artificial Intelligence at Amgen India. Skills: Data Science, Artificial Intelligence, Knowledge Graph, Product Management. Coach team members. Manage performance”

What You'll Achieve.

Deliver high-impact digital capabilities; Shape high-performing local team; Strengthen industry leading capability

Industry & Context.

Problems you'll solve

Strategic problem framing; Problem framing; Complex problems

What They're Looking For.

Must Have

Data science fluency, Data engineering fluency, AI engineering fluency, Ontology expertise, Knowledge graph expertise, In silico modeling expertise, People leadership, Line management, Product ownership, Client success, Technical leadership, Cross-functional collaboration, Strategic problem framing, Scientific domain translation, Enterprise domain translation, Learning agility, Hands-on technical credibility, Pragmatic prioritization, Tradeoff management

Nice to Have

PhD preferred, Specific ML framework experience, Cloud platform certs

What You'll Do.

Guide data scientists

Guide ontology specialists

Guide business partners

Define product vision

Manage stakeholder expectations

Define feedback loops

Define adoption strategy

Define measurable client outcomes

Frame strategic problems

Define product use cases

Define data use cases

Define knowledge graph

Implement knowledge graph

Define controlled vocabularies

Implement controlled vocabularies

Define semantic models

Implement semantic models

Define entity relationships

Implement entity relationships

Define graph data models

Implement graph data models

Define entity resolution approaches

Implement entity resolution approaches

Define semantic query patterns

Implement semantic query patterns

Apply machine learning principles

Apply in silico modeling principles

Apply data modeling principles

Apply data quality principles

Apply metadata principles

Apply data lineage principles

Apply data pipelines principles

Define solutions to complex problems

Build AI/ML capabilities

Integrate AI/ML capabilities

Evaluate AI/ML capabilities

Operationalize AI/ML capabilities

Build retrieval-augmented generation

Build context engineering

Build agents/workflows

Build human-centric designs

Translate scientific needs

Translate engineering needs

Translate business needs

Translate operational needs

Bridge subject-matter experts

Bridge business stakeholders

Bridge technical teams

Ensure product solves real problems

Demonstrate AI understanding

Demonstrate semantic technologies understanding

Demonstrate product practices understanding

Challenge assumptions

Balance technical debt

Balance delivery capacity

Balance long-term scalability

How You'll Work.

Team & Collaboration

Cross-functional collaboration; Client success; Business partners; Stakeholders; Subject-matter experts; Technical teams

Communication Scope

Client success; Stakeholder expectations

Process & Methodology

Product ownership, Roadmap, Backlog prioritization, Release planning, Scaled Agile practices

Full Job Description

## **Career Category** Process Development ## ## **Job Description** **Transformative Digital Capabilities**(TDC) drives **Process Development** (PD) and Operations digital transformation through pragmatic digital innovation that systematically delivers for the present while also building for the future. Our mission is to empower Process Development staff to harness their transformative potential through the rapid convergence of chemistry, biology, engineering, and computing, accelerated by innovative digital capabilities. TDC’s core competencies span clear thought leadership and deep domain expertise in Data Products, Artificial Intelligence, Digital Twins, Product Management, and Organizational Change Management following Scaled Agile practices. As part of our team expansion at Amgen India (AIN), we are seeking a multi-faceted team leader to build and establish a new group within AIN that combines people leadership, product ownership, client success, data science, ontology and knowledge graph expertise, in silico modeling, and AI engineering. Joining TDC’s Leadership Team, this role will be accountable for shaping a high-performing local team while also driving the delivery of high-impact digital capabilities for Process Development. The successful candidate will partner closely with an established team operating at the cutting edge of Data/Twins, AI, and Product Management, bringing the leadership judgment, technical credibility, and product mindset needed to translate complex scientific and business needs into scalable solutions. This is a unique opportunity to help built a new footprint at AIN from the ground up and strengthen an industry leading capability with a track record in the digital transformation space at the intersection of science/engineering, data, modeling, and artificial intelligence. Role expectations and preferred qualifications: * **People leadership and line management** : coaching, performance management, hiring input, workload prioritizatio

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