Senior Generative AI Strategist

2 days ago

Singapore AMAZON WEB SERVICES SINGAPORE PRIVATE LIMITED Full time
Roles & Responsibilities

Amazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists program leader who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence. This role will focus on partnering with customers to enhance their business or operational outcomes through the use of advanced and emerging technologies. You will partner with the AWS Generative AI Innovation Center Strategy team, customers, AWS Sales, AWS service teams, AWS industry teams and AWS Professional Services delivery teams to craft industry-specific programs that will serve the needs of the customer, and extend that use to other customers within the industry and related industries. You will leverage and refine a programmatic approach to help customers drive their business metrics across a set of industry-specific needs. As a trusted customer advocate, the Generative AI Strategist Program lead will assess and deliver best practices around program delivery, project approaches, and business measurement. The ability to connect business value to a scalable, repeatable, extensible approach is critical to the Strategist Program leader role.

Key job responsibilities

- Discuss complex industry-specific business concepts with executives, line managers and technologists - Drive large, complex sales opportunities from ideation, through vision building and scoping, all the way to closure and into delivery - Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of generative AI or machine learning - Partner with the AWS Generative AI Innovation Center Strategy team to establish programmatic approaches, governance frameworks, and best practices for effective GenAI implementation - Orchestrate cross-functional collaboration between AWS Sales, AWS service teams, industry specialists, and Professional Services to ensure cohesive program delivery - Establish metrics frameworks and measurement approaches to quantify business impact of GenAI implementations across customer engagements - Identify patterns, insights, and common challenges across customer implementations to drive continuous improvement in program design and delivery methodology - Drive the development of industry-specific GenAI programs that deliver measurable business outcomes for AWS customers, ensuring scalability and repeatability across multiple accounts What if I don't meet all the requirements? That's okay We hire people who have a passion for learning and are curious. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical expertise, business and consulting skills. You will learn from and collaborate with some of the brightest technical minds in the industry today.

A day in the life

Your day starts tracking performance metrics across APJC strategic initiatives, identifying acceleration opportunities in your different customer cohorts. You run a working session with a customer moving from GenAI ideation to production deployment, then collaborate with sales teams to refine pre/post-sales mechanisms that streamline customer journeys. After coordinating with global teams on best practices, you analyze non-linear growth initiatives performance data, making recommendations to optimize results. You end by documenting key learnings from a successful customer implementation that can be applied across other APJC markets to accelerate regional GenAI adoption.

About the team

The Generative AI Innovation Center will guide customers in figuring out what business needs Generative AI can address, identify and prioritize new use cases based on business value, and implement innovative and practical solutions along with steps to scale. Based on our customers maturity with Generative AI, the Generative AI Innovation Center will provide custom demos and proofs-of-concepts. When customers are ready to deploy solutions into production or need help in a sustained manner, the Generative AI Innovation Center will transition work to ProServe teams or to a partner. With the combined power of resources, technical expertise, and industry knowledge, we can help our customers accelerate their time to value with AI. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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 Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, inspire us to never stop embracing our uniqueness. 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 in the cloud.

Basic qualifications

- 7+ years of professional experience - 3+ years of experience in the industry as a ML practitioner or executive - Experience participating in the sales lifecycle (directly or indirectly) - Experience in management consulting or related work - Experience launching technically complex programs, projects, or related work that includes the following: Big Data, Analytics, Artificial Intelligence, and Machine Learning

Preferred qualifications

- Executive communication skills - Writing communications skills - Experience with presenting to audiences of 5 to 50 people of various levels (developers to executives) and backgrounds (business, technical, operations) - Experience in management consulting or related - Advanced degree (e.g., MBA, MS)

Tell employers what skills you have

Management Consulting
Scalability
Technical Operations
Cloud Computing
Uniqueness
Artificial Intelligence
Career Development
Amazon Web Services
Big Data Analytics
Strategy
Mentorship
Advocate
Writing
Consulting
Professional Services
Customer Journeys

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