채용
Sr. Technical Account Manager , AWS Enterprise Support, Strategic Industries, Healthcare & Life Sciences, ES - SI - HCLS

Sr. Technical Account Manager , AWS Enterprise Support, Strategic Industries, Healthcare & Life Sciences, ES - SI - HCLS
Dublin, D, IRL
·
On-site
·
Full-time
·
3w ago
필수 스킬
AWS
Are you passionate about helping healthcare and life sciences organizations harness the power of cloud and Generative AI to accelerate drug discovery, transform clinical operations, and improve patient outcomes? AWS Enterprise Support is looking for a Senior Technical Account Manager (TAM) to join our Strategic Industries team, specifically supporting some of the world's most innovative Healthcare & Life Sciences (HCLS) customers.
As a Senior TAM, you'll be the technical advisor and strategic voice of the customer for organizations navigating complex, regulated environments, from pharmaceutical companies running genomics pipelines and clinical trials to healthcare providers modernizing electronic health records and medical imaging platforms. You'll operate at the intersection of deep technical expertise and business strategy, working with minimal guidance to anticipate customer needs, influence architectural decisions across business units, and drive long term outcomes for mission critical workloads, including AI and Generative AI initiatives.
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Serve as a trusted advisor to C suite and senior technical leaders at major HCLS enterprises
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Craft and execute strategic support plans aligned to customer business outcomes, from cloud migrations and SAP transformations to HPC/GPU research workloads, manufacturing modernization, and AI/Gen AI adoption
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Navigate multi program, multi cloud environments where compliance (HIPAA, GxP, GDPR), data sovereignty, and operational resilience are non negotiable
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Help customers design, deploy, and optimize AI and Generative AI workloads using services such as Amazon Bedrock, Sage Maker, Health Lake, and more
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Influence technical decision makers across multiple teams and business units, driving adoption of AWS services including EC2, S3, Lambda, Sage Maker, Bedrock, Health Lake, and more
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Proactively identify risks, architectural improvement opportunities, and operational health optimizations across complex customer environments
This position will require the ability to travel 10% or more as needed. -
Key job responsibilities
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Strategic Account Leadership: Own the technical support relationship for strategic HCLS accounts, executing Strategic Support Plans aligned to business outcomes including regulatory compliance, clinical transformation, and AI/Gen AI adoption
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AI and Generative AI Enablement: Guide customers in adopting and optimizing AI and Gen AI workloads on AWS, leveraging Amazon Bedrock, Sage Maker, and Health Lake to accelerate drug discovery and automate clinical workflows
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Executive Engagement: Build trusted relationships with C suite and senior technical leaders, driving discussions on architecture, risk management, AI strategy, and cloud investments
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Proactive Technical Guidance: Provide prescriptive architectural guidance using the Well Architected Framework for regulated HCLS workloads, including AI/ML and Gen AI solutions
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Cross Program Orchestration: Coordinate across migrations, HPC/GPU research, manufacturing modernization, AI/Gen AI initiatives, and SaaS transformations to reduce risk
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Incident and Escalation Management: Serve as the senior escalation point during critical events, driving resolution with engineering and service teams
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Operational Excellence: Ensure customer environments remain healthy, resilient, and cost effective through operations and Well Architected reviews
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Collaboration and Mentorship: Collaborate across AWS functions and mentor peers to raise the bar on best practices
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture:
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth:
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Basic Qualifications
- Experience in design/implementation/operations/consulting with distributed applications
- Experience in external enterprise customer-facing role as a technical lead, with strong oral and written communication skills, presenting to both large and small audiences
- Experience with operational parameters and troubleshooting for three (3) of the following: compute/storage/networking/CDN/databases/DevOps/big aata and analytics/security/applications development in a distributed systems environment
- Bachelor degree or equivalent experience
Preferred Qualifications
- Experience in internal enterprise or external customer-facing environment as a technical lead
- Experience communicating and delivering presentations to customers, stakeholders, and/or teammates
- Experience with AWS services or other cloud offerings
- Experience in the Healthcare & Life Sciences industry, including knowledge of regulatory frameworks such as GxP, HIPAA, and GDPR
- Experience with AI/ML and Generative AI technologies, including familiarity with services such as Amazon Bedrock, Sage Maker, or similar platforms
- Understanding of the AWS Well Architected Framework pillars and ability to properly apply them to existing or new customer architecture, implementations, and/or solutions
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Amazon 소개

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
연봉 정보
4개 데이터
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0개 리포트
$108,330
총 연봉
기본급
$43,332
주식
$54,165
보너스
$10,833
$75,831
$140,829
면접 경험
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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