Summary
Posted: Aug 1, 2024
Weekly Hours: 40
Role Number:200549220
Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. The WW Channel Sales & Operations (CSO) focus on developing and deploying worldwide sales programs and standard methodologies to deliver best customer experience in the Channel, and drive Apple Channel sales. With deep functional expertise in digital, physical and people enablement spaces, WW CSO closely collaborate with many cross-functional teams at both WW and regional levels. We are looking for an outstanding AI data product manager to create, design and implement the data technology product vision and architecture for our AI, Machine Learning and NLP solutions. You will partner with our decision support and data intelligence team to drive the future of these exciting domain areas and be responsible for building these capabilities at scale, for our data driven digital transformation effort across our channel sales platforms.
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Description
Key Responsibilities 1. AI & Data Tech - Develop an overarching vision and strategy for our data and AI technology blueprint and architecture. 2. Data Quality - Establish and oversee data quality standards and strategies to ensure accurate business outcomes 3. Data Science, Machine learning - Design and build connected data models and algorithms to answer business questions and estimate the causal impact 4. NLP - Transform data science prototypes to useful NLP applications, train ML models and extend libraries to NLP tasks and ongoing analyses and refine 5. Digital Transformation - drive digitization, automation, process changes and data first culture within the channel sales & ops team 6. Teamwork - partner with cross-functional data teams including Finance, Marcom, Product Marketing, IS&T to build a world class AI technology stack and process.
- 10+ years of experience working in product leadership roles at both major internet players and startups
- Experience with data-driven digital transformation projects using AI/ML/NLP technology
- Strong background in mathematical modeling, linear and non-linear regression, and consumer decision making theory
- Understand Expert R/Python, NLP and other languages important to the ETL data pipeline e.g. SQL
- Computer Science, Computer/Data Engineering Degree (Master degree or higher preferred)
Preferred Qualifications
- Experience in design/development of complex decision-making systems.
- Experience with building product and data technology stack, architecture design and development
- Expert in the use of industry-standard data analysis and reporting tools including Tableau.
- Product management mindset/ leader with deep business expertise
- Ability to share results with a non-technical audience and advancing multiple projects at once on a tight schedule
- Skill for building great design, excellent presentation, written and verbal communication, engagement and interpersonal skills
- Ability to personally deliver large scale initiatives in a fast-paced environment with high levels of complexity and ambiguity
- Global mentality
- Experienced in the sales, consulting, business performance analytics, business operations, or change management preferred
- Proven change agent and a strong strategic problem solver
- Proven track record of clear communications with C-suite partners and across cross-functional teams
Education & Experience
Additional Requirements
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- Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.