Technical Program Manager II - Metrics and Analytics

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Description

Technical Program Manager II - Metrics and Analytics Job ID: 1577008 | ADCI - Karnataka


DESCRIPTION
The HIL Data Operations Team

Human in Loop service (Sagemaker Ground Truth and A2I) leverages machine and humans to enable customers to create good quality training data which are used to train machine learning models. 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 across mapping, autonomous vehicle, computer vision and NLP domains.

We're looking for an analytical and customer-obsessed Program Manager who has experience with building and working on large scale labelling and data annotation operations. This will require them to understand customer requirements , define policies and quality systems, and develop training programs to deliver best in class annotations. They will work closely with product & engineering to ensure product is tested at every stage of development for efficiency and quality. This role will tap into their ability to wear multiple hats - responsibility for delivery of programs with customers, working with product/UX/engineering to drive tool improvements, work on process improvement to improve quality/efficiency/policy dissemination.

What you'll do:
Own and deliver labelling and annotation programs in the Computer Vision and NLP domains.
Ideate and drive programs aimed at driving efficiencies for The HIL Data Operations Team vendor workforce through various functional capabilities spread across operations management, process improvement, policy, quality, automation and analytics.
Build and drive strategy/roadmap for your capability area - Metrics and Analytics
Work on ideating and defining metrics to power process improvement across large scale operations.
Define and run Analytics studies that can create insight into improving process efficiency, quality , throughput and utilisation. Work with Data science to structure and run Analytics studies.
Collaborate with key stakeholders for scoping and prioritizing project activities based on the business impact and team OKRs
Turn analysed data into actionable deliverables for the product, support, and operational improvements
Interface with tech leads and engineers to estimate efforts, define milestones, track progress, resolve dependencies, evaluate risks and communicate status to project stakeholders
Ability to work with engineer/product/internal teams to deliver tool/tech solutions that will drive long term improvements in operational efficiency.
Communicate plans, insights, data, and results to project stakeholders
Share frameworks, tools, best practices that improve the delivery of projects with focus on reusability and standardization
Design experiments and interpret the results to draw detailed and actionable conclusions
Present findings to senior management to guide business decisions
Track, analyze, and report data patterns and trends associated with the programs you own
What you'll need
Minimum 4 years of experience in program management. Experience in labelling operations is preferred.
Data skills with working knowledge of SQL
Hands on experience in working with analytics software , Python for data science or R for data science.
Experience in defining metrics and analytics programs for large scale operations. Experience in using statistical techniques and machine learning to derive insights from data.
Experience working on converting data to insights, creating dashboards using software such as Tableau, Shiny.
Ability to collaborate with Data Engineers , Data Science to define infrastructure, applications and systems required to get actionable insights from large operations that create big data.
Experience in solving problems, both structured and ambiguous, at scale with a strong bias towards innovation.
Excellent written and verbal communication skills, ability to influence and motivate people (with both technical and non-technical individuals) across a broad variety of job functions through your relationships
Strong analytical and quantitative skills with the ability to use data and insights to influence stakeholders
Willing to explore and learn new technologies, hybrid processes
Bonus points if you have:
Worked on AI/ML based operations, labelling and annotation operations
Worked at a high paced, fast-growing, scrappy tech startup.


About AWS


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 host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazons 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 isnt about how many hours you spend at home or at work; its 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 were 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.


BASIC QUALIFICATIONS What you'll need
Minimum 4 years of experience in program management. Experience in labelling operations is preferred.
Data skills with working knowledge of SQL
Hands on experience in working with analytics software , Python for data science or R for data science.
Experience in defining metrics and analytics programs for large scale operations. Experience in using statistical techniques and machine learning to derive insights from data.
Experience working on converting data to insights, creating dashboards using software such as Tableau, Shiny.
Ability to collaborate with Data Engineers , Data Science to define infrastructure, applications and systems required to get actionable insights from large operations that create big data.
Experience in solving problems, both structured and ambiguous, at scale with a strong bias towards innovation.
Excellent written and verbal communication skills, ability to influence and motivate people (with both technical and non-technical individuals) across a broad variety of job functions through your relationships
Strong analytical and quantitative skills with the ability to use data and insights to influence stakeholders
Willing to explore and learn new technologies, hybrid processes


PREFERRED QUALIFICATIONS MBA with a technical background, Worked in large scale operations (Especially ML/AI Labeling Operations)


Job details

IN, KA, Bengaluru


AWS Program Management


Project/Programme/Product Management--TECHNICAL


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