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Head of Data and Analytics, UKI, AWS UKI Specialist Team

직무데이터 사이언스
경력디렉터급
위치London, United Kingdom
근무오피스 출근
고용정규직
게시1개월 전
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필수 스킬

AWS

Go

Do you want to own driving the adoption of Amazon Web Services (AWS) in UKI’s largest and most innovative companies? Want to be part of a cross-functional team focused on increasing technology adoption of cloud computing by engaging directly with C-level executives and influencers at all levels?

As the Head of Data & Analytics, you will drive customer adoption of Amazon Web Services (AWS) Data and Analytics services (i.e. Redshift, Search (Elastic Search, Cloud Search), EMR, Athena, Kinesis, Glue,, and other Data Services) across UK and Ireland. Customer applications that are built to operate at scale need services with high throughput, massive storage scalability, and high availability. AWS offers a broad set of cloud-based services that are flexible, and yet simple to use, enabling organizations to put their data to work quickly and easily.

Your responsibilities will include leading a cross-function go-to-market team, partnering with the account and channel teams to define key market segments to target, driving the necessary business and technical relationships with customers and partners to establish new business in those markets, and enabling the account team drive the day-to-day interactions with prospects in order to build long-term business opportunity. You’ll also work closely with the other specialist teams (AI/ML, SAP, Connect) to develop and take solutions to market, and product/service teams to help them evolve the products/services and address concerns.

The ideal candidate will possess both a business background that enables them to drive an engagement and interact at the CxO/VP level, as well as a technical background that enables them to easily interact with software developers and architects. Thinking strategically and analytically about business, product, and technical challenges, you’ll have the ability to build and convey compelling value propositions, and work organisationally to build consensus.

Responsibilities:

  • Help define the market segments, customer base, data use-cases and industry verticals we target within the area

  • Set a strategic business development plan to execute for target markets in line with the UKI, Regional, and Global, strategic direction

  • Execute the strategic business development plan while working with key internal stakeholders (e.g. account teams, channel teams, service teams, partner teams, and support).

  • Identify specific prospects/partners to approach while communicating the specific value proposition for their business and use case

  • Understand the technical requirements of our customers and work closely with the internal development teams to guide the direction of our product offerings

  • Relevant technical experience/knowledge is helpful, such as: data and analytics, core distributed computing concepts, fundamentals of cloud computing and virtualization, big data concepts, storage systems, content delivery networks (CDNs)

  • Key job responsibilities

  • Help define the market segments, customer base, data use-cases and industry verticals we target within the area

  • Set a strategic business development plan to execute for target markets in line with the UKI, Regional, and Global, strategic direction

  • Execute the strategic business development plan while working with key internal stakeholders (e.g. account teams, channel teams, service teams, partner teams, and support).

  • Identify specific prospects/partners to approach while communicating the specific value proposition for their business and use case

  • Understand the technical requirements of our customers and work closely with the internal development teams to guide the direction of our product offerings

  • Relevant technical experience/knowledge is helpful, such as: data and analytics, core distributed computing concepts, fundamentals of cloud computing and virtualization, big data concepts, storage systems, content delivery networks (CDNs)

Basic Qualifications

  • Experience in analytics, data engineering or business intelligence from a large scale business enterprise
  • Experience in a leadership role
  • Experience in sales management or equivalent
  • Experience building and managing a healthy sales pipeline focused on driving revenue, adoption, and market penetration
  • Experience working with customers in the Data and Analytics domain

Preferred Qualifications

  • Experience with cloud computing and or related fields (SAP, IoT, AI/ML)

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

Amazon

Public

Amazon.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

10개 리뷰

3.4

10개 리뷰

워라밸

2.5

보상

4.2

문화

3.0

커리어

3.8

경영진

2.7

65%

지인 추천률

장점

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

단점

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

연봉 정보

4개 데이터

Junior/L3

L2

L6

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Data Scientist L4

0개 리포트

$181,968

총 연봉

기본급

-

주식

-

보너스

-

$154,672

$209,264

면접 후기

후기 6개

난이도

4.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 17%

부정 83%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge