Senior Operations Manager Artificial General Intelligence Data Services

Amazon
Cambridge
9 months ago
Applications closed

Related Jobs

View all jobs

Informatics Data Science Manager

Informatics Data Science Manager

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Benefit Risk Management Center of Excellence Data Scientist

Benefit Risk Management Center of Excellence Data Scientist

AI is the most transformational technology of our time capable of tackling some of humanitys most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of humantechnology interaction with us. We are seeking an experienced Senior Operations Manager to join our team in Cambridge.

Key job responsibilities
Develop and drive the overall direction coordination service delivery and evaluation of Data Services operations activities
Set the vision direction and culture of their teams by managing individual and team performance expectations and goals monitoring real time service levels and schedule adherence and holding their teams accountable to meet and exceed performance targets
Collaborate with internal partners to build inputfocused operating plans for achievement of key measures
Create a culture where accountability transparency and collaboration are the norm and where rapid deep dives into root causes of defects is a standard operating practice
Develop implement or change processes as necessary to allow ADS to scale at an accelerated pace while managing cost and without impacting customer experience
Implement barraising programs aimed at hiring and developing top talent and build career development roadmap for site operations teams
Inspire front line teams to go beyond the standard call of duty to find creative solutions for our product issues; encourage risktaking and advocacy on behalf of product teams.
Create closedloop feedback processes where data associates are encouraged to be active participants in identifying opportunities for improvements to customer experience workplace conditions and internal tools.
Work with finance & operations leadership team to develop support manage the annual expense budget and build collaborative relationships with partner organizations.
Responsible for creating a coaching culture across the site where formal and informal coaching opportunities are availed of
Foster a work environment that respects and is responsive to the needs of a diverse staff
Achieve sitewide improvements in Operations Quality Productivity Cost Customer experience and People metrics.
Build partnerships with internal and external teams to collaborate and drive measurable improvements in areas that cause customer pain and data associate frustration.
Improve the experience of the data associates & managers as measured by improvements in attrition and employee engagement surveys.
Work with Operations Engineering leadership / Engineering managers to clearly articulate feature requirements for associate tool sets user interfaces and business logic for the efficient handling of work volumes.

A day in the life
Senior Ops Manager is accountable for the overall direction and operations of Cambridge site creating a culture of customer obsession high performance and high quality throughput. With operations managers and team managers as direct reports this role enables the achievement of service levels performance & cost goals and successful program implementation.
You work in an everchanging environment where every day brings ambiguously defined problems new challenges and new opportunities. You are able to balance strategic thinking with detailed and solid crossfunctional collaborative resultsoriented work.
This position involves regular communication with senior management on project status and risks. People Management crossteam coordination project management and executive presentation skills are essential.


About the team
We are building the speech and language solutions behind Amazon Echo and other Alexaenabled products and services. ADS mission is to provide highquality labelled data for machine learning (ML) technologies.

Bachelors degree in Engineering Science Supply Chain or Operations related fields
Experience with people management and operations leadership
Experience in a management role in a technical/customer service/data operations environment
Experience of creating and contributing to strategic planning processes
Experience in managing cost center
Experience in leading large teams to high levels of performance
Experience in developing future leaders and creating tailored succession plans
Experience as a project owner / sponsor for strategic step change initiatives and enabling innovative thinking in project teams
Experience working on MS Excel analysing data and presenting to senior management

Masters degree or MBA
Experience in leading speech data operations
Exhibits excellent judgment
Demonstrated passion and obsession for customers while maintaining a lean highly productive operation
Experience hiring and developing great people/leaders
Experience in building a culture of empowerment accountability and continuous improvement
Has relentlessly high standards
Proven ability to think strategically but stay on top of tactical
Expects and requires innovation of her/his team and creates an environment that fosters creative thinking
Excellent verbal and written communication skills across all organizational levels
Proven ability to make and implement decisions
Degree in management or linguistics field desirable

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 Noticeto know more about how we collect use and transfer the personal data of our candidates.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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
for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

Manager


Key Skills
Business,Inventory Control,Franchise,Information Technology Sales,HR Marketing
Employment Type :Full-Time
Experience:years
Vacancy:1

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.