Product Manager (BI Tools & Training), Ai & Data Platforms Austin,Texas,United States Software and Services At Apple, excellent ideas can become extraordinary products, services, and customer experiences. Bring passion and dedication to your job; there's no telling what you could accomplish. Would you like to work in an energizing environment where your abilities will be challenged daily? As a Product Manager in our team, you will be responsible for owning and developing the critical Data processing Platform. Our ideal candidate has in-depth experience working with large-scale data challenges. The candidate is proficient with technology and will be self-directed, equipped with cross-functional experience, motivated, strong analytical, product management, and influencing skills. The Global Business Intelligence team provides data services, analytics, reporting, and data science solutions to Apple's various business groups. We use diverse technology stacks such as Snowflake, HANA, Hadoop, Spark, Cassandra, and beyond. Crafting, developing and scaling solutions using these Big Data technologies is a core part of our daily job. **Description** We are looking for a product leader to develop a deep understanding of various products and build a clear vision of how the product will evolve in Apple's Ecosystem! You will be responsible for the end-to-end product life cycle from customer scenarios, product requirements, priorities, and customer reviews, all the way to product/feature evangelism. You will collaborate with our data engineering leaders and architects across the company. Including technical program management, business unit leaders, and ecosystem of technology partners to align on joint technology and business integration roadmap. **Minimum Qualifications** + 5 years of experience in a Technical Product Management role, preferably for a large-scale BI products focused in the data space. + Understanding and demonstrated skills for developing large user communities, planning and executing product adoption. + Understanding of the technical architecture of data pipelines, warehousing, and data management systems, and knowledge of data pipeline design and data transformation standard methodologies **Key Qualifications** **Preferred Qualifications** + Good exposure to BI tools like Tableau, SAP BI, or Microstrategy is a plus + Advanced SQL skills and familiarity with big data technologies and the data infrastructure ecosystem + Significant experience and proficiency with modern databases (Snowflake, Cassandra, Vertica, etc.) and traditional database technologies (Teradata, etc.) + Proven knowledge on cloud technologies on AWS, GCP or similar other platforms. + Should be a collaborative teammate partnering with Engineering Teams, Dev Ops, and other team members to deliver compelling products that meet those needs. + Leadership skills to influence partner(s) and develop strong BI roadmaps, strategies + Critical thinking and deep analytical abilities, strong out-of-the-box thinking, curious business and an ability to drive action **Education & Experience** **Additional Requirements** + 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) **Apple Footer** 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 (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. 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