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Global CX Strategy Leader, Connected Products , Industry Specialists and Solutions (ISS); AWS Automotive & Manufacturing

Amazon

Global CX Strategy Leader, Connected Products , Industry Specialists and Solutions (ISS); AWS Automotive & Manufacturing

Amazon

Detroit, MI, USA

·

On-site

·

Full-time

·

4d ago

This is a rare opportunity to shape how the world's leading cloud provider defines the future of connected and AI enabled experiences across automotive and manufacturing industry. As the Leader of Connected Products Experience (CX) in the AWS Automotive and Manufacturing Business Unit, you own defining, documenting, as well as the execution of the strategy and roadmap for CX for the automotive and manufacturing industries within AWS. CX solutions address the end-to-end customer journey and experience for mobility, industrial, and consumer product users with smart products at its core. The customer journey includes pre-sales through post-sales service touchpoints across the entire product lifecycle. The CX domain addresses customers in passenger and commercial vehicle OEMs, logistics and rental fleet companies, dealerships, e-commerce, vehicle services, other mobility offerings, industrial and consumer goods producers, service providers, and value-added ecosystem players.
As a leader for CX, you will be responsible for translating customer business needs into business value using AWS Services and Solutions. You will accelerate industry transformation by helping customers deliver unparalleled customer experiences using AWS technologies. As the leader, you will be responsible for business development, technical strategy, partner strategy, solutions, and go-to-market for CX for global scaling. You work closely with stakeholders across AWS to ensure the strategy remains relevant and aligned with fast-paced dynamics of the automotive, manufacturing, consumer markets and the technology landscape.
The strategy should cover the near-term, outlining what is needed now and how it will achieve growth for CX. The strategy should also deliver long-term value for customers and drive timely decisions for the product roadmap. As the CX leader you will dive deep into implementing the strategy working with the regional and scaling teams, learn from every customer’s experience, and adapt the strategy accordingly to ensure it remains relevant, impactful, and drives growth.

Key job responsibilities
1/ Regular updates of the Customer Experience strategy, defining and driving initiatives for strategy execution
2/ Reporting of strategic initiatives, business results and metrics.
2/ Influence Customer Experience product roadmaps and solution portfolio to keep AWS at the forefront of delivering solutions that cater to evolving needs of the automotive and manufacturing industries.
3/ Drive year on year growth by accelerating solution adoption velocity by working with the regional leads and scaling teams
4/ Publish the business validation/ROI framework to drive executive engagement addressing specific business needs and desired outcomes
5/ Represent AWS as a thought leader at industry events, conferences, and forums, sharing expertise and insights to position AWS as a leading provider of innovative technology

A day in the life
1/ Engage with field business teams to align CX solution portfolio to customer engagements.
2/ Regularly drive field enablement campaigns for new and existing solution portfolio
3/ Evangelize CX strategy and align stakeholder activities
4/ Engage with field teams to identify lighthouse opportunities for strategic solutions
5/ Engage with partners to evangelize strategy and solution guidance development for scaling
6/ Publish GTM packages including presentations, demos, battle-cards, etc.
7/ Regularly publish updated strategy documents to reflect market conditions and feedback from stakeholders
8/ Regularly report on business metrics, KPIs
9/ Drive Thought Leadership with Customers and Industry organizations.

About the team
The CVX CoE team is part of the Industry Specialist and Solutions Organization within the Automotive and Manufacturing IBU. The team mission is: To empower automotive and manufacturing companies to transform vehicle, product, customer, and ecosystem data into competitive advantages that drive operational efficiencies and deliver personalized end-customer experiences. By streamlining data integration and enabling real-time analytics, we help original equipment manufacturers (OEMs), dealers, service providers, mobility players, and fleet operators deliver safer, more intelligent solutions while creating new revenue streams, reducing costs, and accelerating innovation with AWS services and our partner solutions.

Basic Qualifications

  • Experience developing strategies that influence leadership decisions at the organizational level
  • 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
  • 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
  • 5+ years of solving problems with technology in the Automotive & Manufacturing industries experience
  • Experience presenting to both technical and non-technical executive audiences
  • Deep understanding of Customer Experience technologies, trends, and customer challenges.

Preferred Qualifications

  • MBA
  • Experience with embedded systems, consumer devices, or mobile apps
  • Experience with connected vehicle platforms, IoT, Contact Centers, Dealer Management, Digital Commerce, Service Management, and other solutions
  • Experience working with global or regional OEMs, Tier-1 Suppliers, ISVs, SI companies
  • Public speaking or thought leadership track record (publications, keynotes)

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, MI, Detroit - 147,900.00 - 200,100.00 USD annually

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About Amazon

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+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge