Advertising Operations Automations Leader, Advertising Services

The Advertising Services team is looking to hire a manager for AI based automation, to lead and develop the existing capability with the right skills and talent, and develop an automation roadmap aligned to the digital transformation journey for Advertising Services. This is an exciting opportunity to join an area which touches every aspect of Amazon's wide range of businesses.

This role reports will be part of the Process Improvement and Engineering (PIE) team and provide leadership, vision, and solutions to build and drive the execution of the process automation roadmap. It requires a balance of strategy, deep technology acumen, execution, and bringing together the business and technology perspectives to build rapid delivery of automations. The role focuses on long-term business technology objectives and targeted business outcomes by clarifying automation technology capabilities, assessing and mitigating security risks and ensuring platform scalability.

To be successful in this role, a candidate should be able to thrive in a dynamic and fast-paced environment, be well versed in identifying opportunities for operational efficiencies and managing tools/systems for use in the creative marketing and advertising operations space. They should have experience in building and leading an automations engineering team, with deep knowledge of Amazon Bedrock AI services, industry knowledge of AI development, and a passion for learning/maintaining current knowledge in Gen AI. They should be able to function/organization to develop process automation roadmap to simplify and improve the process efficiencies and effectiveness. The candidate will manage global projects with multiple deliverables in a timely fashion and ensure all deadlines are met across teams and key stakeholders. They will demonstrate strong ownership and bias for action, remain proactive with strategic solutions, collaborate across internal teams and stakeholders, and maintain clear and concise communication across all levels of leadership. An ideal candidate will have superior verbal and written communication skills, experience educating technical and non-technical stakeholders and working across multiple teams and regions, be able to independently manage programs and create tactical plans from ambiguous challenges, and know how to escalate in a solutions-oriented manner.

Key job responsibilities

- Provide technical leadership related to using GenAI to enable automated advertising campaign setup and management capabilities
- Learn and stay current with technical developments in the field of AI and in particular Amazon AI services, share and teach team members on this tech
- Lead a team of highly talented It App Dev & Sys Dev engineers responsible for managing all aspects of mission-critical systems
- Partner with business stakeholder and product managers around GenAI capability communication/articulation, translate technical jargon and methodologies to business absorb able language
- Review and approve engineering design and perform code reviews
- Research and drive new and innovative AI/ML approaches
- Enforce a high bar for operational excellence of the team's services
- Recruit high performing team members, and provide them mentorship and coaching
- Establish team mechanisms for project planning, product development, engineering excellence, operational excellence (dev ops), and team building mechanisms.
- A successful candidate will be a hands-on manager with an established background in developing and operating platforms and services, developing and hiring extraordinary talent, have strong technical ability, great communication skills, and a motivation to achieve results in a dynamic fast paced environment.

A day in the life
- Establish strong relationships with internal partners and peer stakeholders to understand and meet their needs while operating existing systems at a high quality
- Drive incident management to resolve outages and communicate with a global audience and participate in calls resolving outage
- Develop and maintain a culture of innovation and operational efficiency on the team
- Manage the design and development of new solutions to support internal teams, including code reviews, testing, deployment and post-launch monitoring
- Mentoring and retaining engineers, and keeping up with the high Amazon bar. This leader will be responsible for continuing to build an extremely high caliber team.

- Experience with Gen AI services, frameworks, and server side automation implementations. Exposure to LLM constraints, pitfalls, and implementation patterns.
years of leadership experience in managing large a team of engineers who automate processes - Experience with one or more RPA technologies (E.g.: Automation Anywhere, Blue Prism, UiPath, Amazon Q, Amazon Diamond Toolkit framework) and ability to integrate to in-house platforms.
- Strong consulting mindset working with Sr Managers, Directors and ability to build, lead and guide technical and business teams.
- Collaborative conflict resolution experience and ability to navigate the complex business environment to drive decisions
- Demonstrated leadership experience in hiring, leading, motivating, and developing teams. Should have managed a team at least for 3-5 years
- Experience in Software development, Java, .Net, Work fusion Platform, and AI/ML
- Master's degree in Data Science, Computer Science/ Engineering or in a related field.

- 10+ years of leadership experience in managing engineering teams and RPA (robotic process automation) automation initiatives
- Experience working in a fast paced environment similar to a high tech start-up with responsibility for leading direct reports and influencing teams.
- Experience leading 2 or more RPA technologies
- Experience as a TPM (technical program manager) with a focus in AI based implementations, partnering with other RPA groups, architects, and engineers to design and build enterprise-ready RPA solutions and ability to integrate to in-house platforms.
- Lean Six Sigma Certification.
- Master's degree in Data Science, Computer Science/ Engineering
- Experience managing projects across multiple countries/time zones

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