Amgen

Director- Data Architecture

India - Hyderabad

Actively hiring, first seen by us 2 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Own the enterprise data architecture and solutions roadmap
Lead and mentor a team of data and solution architects
Design modern data architectures such as data mesh, fabric and lakehouse
Drive adoption of data modeling, metadata and lineage standards
Brief executives on architecture strategy and project outcomes

From the employer’s posting

Develop and own the enterprise data architecture and solutions roadmap

Lead and grow a high-impact team of data and solution architects. Coach, mentor

Design and promote modern data architectures (data mesh, data fabric, lakehouse etc.)

Drive enterprise-wide adoption of data modeling, metadata management, and data lineage standards.

Communicate architectural strategy and project outcomes to executive leadership

Education & alternatives

Good-to-Have Skills: - Master’s or doctorate in Computer Science, Engineering, or related field with 18 to 23 years of experience. - Certifications in cloud architecture (AWS, GCP, Azure).

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Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 2, 20262 days ago
Recorded sightings: 3
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 7 and day 53.

From 7,797 similar postings that came down. Coming down is not always a hire.

Amgen is hiring

196 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Leadership hiring has slowed
Takes jobs down at a usual pace
3% of open jobs were reposted

Hiring record

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Where the posting names them

- Proven experience leading architecture strategy and delivery in the life sciences or pharmaceutical industry. - Expertise in cloud platforms (AWS, Azure, or GCP) and modern data technologies (data lakes, APIs, ETL/ELT frameworks). - Strong understanding of data governance, compliance (e.g., HIPAA, GxP), and data privacy best practices.

- Master’s or doctorate in Computer Science, Engineering, or related field with 18 to 23 years of experience. - Certifications in cloud architecture (AWS, GCP, Azure). - Experience integrating AI/ML solutions into enterprise Data Architecture.

- Experience integrating AI/ML solutions into enterprise Data Architecture. - Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, CloudFormation). - Scaled Agile or similar methodology experience.

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Career Category

Information Systems

Job Description

Director for Data Architecture

The Director for Data Architecture will lead Amgen’s enterprise data architecture and solutions strategy, overseeing the design, integration, and deployment of scalable, secure, and future-ready data systems. This leader will define the architectural vision and guide a high-performing team of architects and technical experts to implement data and analytics solutions that drive business value and innovation.

This role demands a strong blend of business acumen, deep technical expertise, and strategic thinking to align data capabilities with the company's mission and growth. The Director will also serve as a key liaison with executive leadership, influencing technology investment and enterprise data direction.

Roles & Responsibilities:

Develop and own the enterprise data architecture and solutions roadmap, aligned with Amgen’s business strategy and digital transformation goals.
Provide executive leadership and oversight of data architecture initiatives across business domains (R&D, Commercial, Manufacturing, etc.).
Lead and grow a high-impact team of data and solution architects. Coach, mentor, and foster innovation and continuous improvement in the team.
Design and promote modern data architectures (data mesh, data fabric, lakehouse etc.) across hybrid cloud environments and enable for AI readiness.
Collaborate with stakeholders to define solution blueprints, integrating business requirements with technical strategy to drive value.
Drive enterprise-wide adoption of data modeling, metadata management, and data lineage standards.
Ensure solutions meet enterprise-grade requirements for security, performance, scalability, compliance, and data governance.
Partner closely with Enterprise Architecture, Data Governance, Data Engineering, Analytics, AI/ML, and IT Security teams to operationalize data solutions that enable advanced analytics and decision-making.
Champion innovation and continuous evolution of Amgen’s data and analytics landscape through new technologies and industry best practices.
Communicate architectural strategy and project outcomes to executive leadership and other non-technical stakeholders.

Functional Skills:

Must-Have Skills:

15+ years of experience in data architecture or solution architecture leadership roles, including experience at the enterprise level.
Proven experience leading architecture strategy and delivery in the life sciences or pharmaceutical industry.
Expertise in cloud platforms (AWS, Azure, or GCP) and modern data technologies (data lakes, APIs, ETL/ELT frameworks).
Strong understanding of data governance, compliance (e.g., HIPAA, GxP), and data privacy best practices.
Demonstrated success managing cross-functional, global teams and large-scale data programs.
Experience with enterprise architecture frameworks (TOGAF, Zachman, etc.).
Proven leadership skills with a track record of managing and mentoring high-performing data architecture teams.

Good-to-Have Skills:

Master’s or doctorate in Computer Science, Engineering, or related field with 18 to 23 years of experience.
Certifications in cloud architecture (AWS, GCP, Azure).
Experience integrating AI/ML solutions into enterprise Data Architecture.
Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, CloudFormation).
Scaled Agile or similar methodology experience.

Leadership and Communication Skills:

Strategic thinker with the ability to influence at the executive level.
Strong executive presence with excellent communication and storytelling skills.
Ability to lead in a matrixed, global environment with multiple stakeholders.
Highly collaborative, proactive, and business-oriented mindset.
Strong organizational and prioritization skills to manage complex initiatives.
High degree of initiative and self-motivation.
Ability to manage multiple priorities successfully.

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