Amazon is looking Program Manager in Bengaluru, India.
DESCRIPTION
Interested in Machine Learning and AI? Our team's mission is to make machine learning easy, stronger, and universal in the world of Natural Language and Speech. We developed thriving ML services such as Comprehend, Kendra, Lex and Transcribe. We continuously work on adding new services to our portfolio, which address real world problems through research and innovation. We build state-of-the-art services using the latest deep learning techniques and highly scalable distributed systems engineering.
The Program Manager develops, iterates and executes resilient processes to help provide quality data while collaborating with Operations, Science & Development teams. An ideal candidate is analytical, autonomous, and cross functionally collaborative with effective communication skills. They are accountable towards organizational goals and work backwards from customers, stakeholders and dependent teams to successfully deliver results in a fast-paced and dynamic business environment
Key responsibilities of the role include (not limited to):
1. Execute stakeholder engagement processes focused on delivering quality training data for Amazon AI teams.
2. Drive and facilitate complex projects focusing on results and measuring attainment of outcomes.
3. Assist with the definition and design of tools, standard operating procedures and processes.
4. Design scaled processes by gathering functional requirements, identifying resources needed, and defining milestones and launch schedule to ensure timely and successful delivery of the projects.
4. Influence stakeholders (including Data Science, Development teams & Support function) outside your direct area of responsibility to ensure delivery. Identify and mitigate risks, and remove roadblocks within projects. Drive accountability from stakeholders for progress on key program actions through active engagement and escalation.
5. Conduct effective meetings (business and program reviews) and able to dive deeply into details as easily as convey high-level plans with clear and concise verbal and written communication. Transform raw thoughts into clear documentation and requirements (e.g., project charter, statement of work, responsibility matrix, functional requirements, implementation approach, reporting, etc.).
6. Audit activities impacting data quality and define processes to address root cause.
BASIC QUALIFICATIONS
1.Experience using data and metrics to drive improvements
2. A Bachelor’s degree or higher
3.3+ years experience in program or project management
4.Experience defining and executing against program requirements
5. Minimum 3 years of program management experience in multi-organizational initiatives, with a track record of delivering projects with impactful business goals.
6.Proficient in handling large datasets and familiarity with Excel, SQL & Python. Six Sigma Green Belt is a plus.
7.Ability to apply Lean, Six Sigma and Process improvement principles to analyze and improve processes and metrics.
8.Strong presentation and written communication skills as is the ability to manage effective partnerships with cross-functional stakeholders and senior leaders across a variety of groups throughout Amazon
PREFERRED QUALIFICATIONS
1. Experience in change management and driving adoption of new tools, processes, and decision support.
2. Ability to effectively manage multiple projects and priorities in a fast-paced, deadline-driven environment.
3. Strong service mindset and ability to use metrics to measure service levels.
4. Experience in setting up or refining operational metrics.
5. Participation in metric based reviews and making decisions based on metrics.
6. Strong attention to detail and excellent problem solving skills.
7. Graduate/Master’s degree in related field
8. Certified Six Sigma Green or Black Belt is a plus
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, disability, age, or other legally protected status.