Telco Data & AI GTM Leader, APJ, AWSI Telco Industry GTM, APJ

Amazon; Singapore; Remote; SGD 160,000 - 210,000; Full time

Job summary

A global leader in cloud services is seeking an experienced professional to drive data, analytics & AI go-to-market strategies for telecom customers. This senior role involves guiding businesses in digital transformation by leveraging cloud technologies. The ideal candidate will have significant experience in telecommunications, data management, and leading client interactions at executive levels. Strong strategic thinking and the ability to build compelling visions for data-driven enterprises are essential.

Qualifications

• 10+ years of experience in business agreements.
• 15+ years in client interactions and deal structuring.
• 10+ years in data management and architecture.
• 3+ years in analytics roadmaps.

Responsibilities

• Guide telecom customers in digital transformation.
• Engage with customer stakeholders to build data-driven strategies.
• Represent AWS telecom data/AI strategy.

Skills

Telecommunications business acumen

Data platforms & AI expertise

Relationship management

C-Level communication

Strategic thinking

Education

Bachelor's degree in Computer Science, Engineering or Mathematics

Master's degree or MBA

Tools

Machine learning tools

Data management software

Job description

Description

Would you like to enable some of the largest telecom operators in the world transform the ways in which they use data & AI for predicting customer needs, driving efficiencies and delivering personalized experiences? Have you been a part of creating and delivering Data & AI analytics strategies for major Telcos?

Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative cloud services that help businesses across the globe scale and grow. The AWS Telecom Industry team is looking for an experienced candidate to lead Data, Analytics & AI Go-To-Market, driving significant adoption of data, analytics and AI/ML solutions for our largest telecom customers.

Key job responsibilities

This is a senior role, with an Asia-Pacific remit, to guide customers in accelerating their digital transformations by building data-driven organizations, and enabling business outcomes leveraging AWS’ database, analytics, AI and ML technologies. You will help our telecom customers accelerate this journey by engaging with the customers' business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment; helping them learn from examples of industry leaders, reference architectures and define what “great” looks like for their data-driven enterprise.

This role may be located in Singapore, Kuala Lumpur, Manila, Jakarta, or Sydney. It will strive to create alignment among customer stakeholders, address resistance to change and provide a tangible, executable vision to transition to a cloud computing model. They will operate effectively at multiple levels of the organization and can address concerns across C-suite executives, marketing/LOB leaders, data science practitioners, and established platform teams.

You will represent the AWS telecom data / AI strategy and be the leading voice for AWS telecom data-focused solutions. You will leverage worldwide programs, campaigns and work closely with the wider AWS business development, product management, marketing, solutions architecture, partner and professional services teams to position the AWS telecom data strategy for telecom customers and partners.

The ideal candidate will possess a telecommunications business- and data platforms & AI background, with a foundation of having directly led sales / pre-sales / consulting engagements and interactions at the highest levels of large telecom operators and/or technology partners. The candidate should have proven expertise at thought leadership, conceptualizing customer-centric solutions, convincing C-Level executives, line of business leaders and IT architects, and having seen through successful sales to delivery cycles.

Additionally, the ideal candidate will have a demonstrated ability to think strategically and long-term about the needs of complex global businesses. The ideal candidate will also be deeply familiar with complex legacy IT environments, managed enterprise IT infrastructure services, telecom enterprise applications, and has done market analysis, deal negotiation/shaping, with an awareness of field enablement techniques.

Basic Qualifications

• Bachelor’s degree or equivalent experience in Computer Science, Engineering, Mathematics or a related field

• 10+ years of developing, negotiating and executing business agreements experience

• Experience developing strategies that influence leadership decisions at the organizational level

• 15+ years of experience in client related interactions, including executive presentations, relationship management, deal structuring and commercials negotiation, including working with partners in a consortium framework

• 10+ years of related experience in data management and data architecture

• 3+ years experience in analytics roadmaps, including machine learning & AI

• Experience managing / advising on AI strategy, data strategy, operations incl. governance, metadata management

Preferred Qualifications

• Experience as a founder or executive focused on related segments, or as a practice leader or business unit owner

• Experience selling to Fortune 1000 or Global 2000 organizations

• Masters in Computer Science, Physics, Engineering, Math, or applicable field, or MBA

• Experience creating and executing organizational change management strategies as part of a larger transformation

• Program oversight experience in an Executive / Sales / Business Development capacity, including planning, prioritization, successful project completion and maintaining a focus on high standards and quality

• Experience with AI & Machine learning

• Experience with data architecture, data system and tools, related software, and data management policies and practices in a complex organizational environment

• Experience in evaluating on-premise vs cloud computing models

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