Data Operations Program Manager, Ground Truth Plus

Santa Clara, California, USA

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Job summary
Operations – Program Manager

Human in Loop service (Sagemaker Ground Truth and A2I) leverages machine and humans and enables customer to create good quality training data sets which they can use for training their machine learning model. The quality of model and the inferences in production is driven by the accuracy and quality of the human annotations across all modalities – Text, documents, 2D images, Video and 3D point cloud. We're looking for an analytical and customer-obsessed Program Manager who can directly work with the crowd to drive the efficiency and quality of the annotations. This will require them to understand the requirements, establishing the policies and guidelines for the annotators, work closely with product & engineering to ensure product is built and tested at every stage of development for efficiency and quality. This role will tap into their ability to wear multiple hats, working with product, UX, engineering, customers and customer service teams to address issues/solve new challenges and shape the business. This is an excellent opportunity for a motivated, energetic individual to have a large impact business unit within. Strong interpersonal skills are also important.

As the Operations Program Manager, your responsibilities will include:

· Working directly with various internal and external annotation workforces to ensure best user experience in the product and it is optimized for cost and quality.
· Identify and execute on opportunities for improving customer experience and reducing delivery cost through data analysis.
· Collaboration with product and engineering teams to build and launch new features and programs.
· Developing key processes, policies, metrics and performance indicators to measure overall annotation performance and provide foundation for continuous improvement.
· Clarify and drive short-term project priorities and commitments, as well as establish and maintain clear chains of project management and accountability.
· Developing and effectively communicating strategies & plans in narrative format.

Basic Qualifications


· Bachelor's Degree or equivalent experience.
· 2 years of relevant work experience in Program management, process improvement and/or data processing service companies/products.
· Experience with agile or other program management methodologies

Preferred Qualifications

Ability to succeed amidst ambiguity
· Leveraging technology to invent, improve, and scale.
· Proven ability to meet tight deadlines, multi-task, and prioritize workload.
· Experience in Microsoft Excel, SQL.
· Ability to handle the day-to-day management of tasks, prioritization and resolution of problems and issues and experience in implementing action plans to meet objectives.
· Excellent communication and presentation skills and the ability to express thoughts logically and succinctly.
· Self-starter and possesses flexibility to work in a fast-changing environment and ambiguous situations.
· business operations, vendor management is preferable.

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.




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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Tags: Agile AWS Data analysis Engineering Excel Machine Learning SageMaker SQL UX

Perks/benefits: Career development Conferences

Region: North America
Country: United States
Job stats:  1  0  0

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