Technical Account Manager, People Engineering at Apple

Elk Grove, California, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Feb, 26

Salary

0.0

Posted On

26 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Project Management, Data Engineering, Machine Learning, Analytical Skills, Problem Solving, Communication Skills, Collaboration, Process Engineering, Data Governance, SQL, API, Data Warehousing, Privacy Data Governance, Agile, Waterfall, Technical Integration

Industry

Computers and Electronics Manufacturing

Description

Apple is where experienced individuals collaborate and deliver solutions, committing to the values that lead to great work. The People Engineering team deploys formulas to resolve challenges to manage big data between systems and organizations. Every new solution we develop, service we create, or experience we deliver is the result of us amplifying each other’s ideas. This occurs because every individual shares a belief that we can create something extraordinary and share it with the world, positively impacting lives. It is the diversity of our people and their perspectives that inspires the innovation that permeates all our endeavors. When we involve everyone, we can achieve our best work. Here, you will not merely join a team; you will contribute something valuable. DESCRIPTION We are actively seeking a Sr. Technical Account Manager who is committed to working in a critical environment that values continuous improvement and embraces change. The Apple People Engineering team develops privacy-centric data solutions that leverage advanced data engineering, integrations, and machine learning data storage technologies at massive scale. This role involves collaborating with cross-functional teams to project manage, coordinate, and implement critical large-data integrations with security and privacy controls. MINIMUM QUALIFICATIONS 4+ years of experience leading/deploying/sustaining projects or programs and operations in technology-driven environments or similar that includes source applications, integrations/interfaces, EDW, and client-server solutions tied to Business Operational user processes. Process and Systems Engineering experience. Excellent written and verbal communication skills, adept at presenting solutions and insights to diverse audiences and encouraging collaborative relationships. Strong analytical, problem-solving, and program management skills. Demonstrated ability to resolve highly variable and complex operational issues creatively. Demonstrable ability to forge relationships with partners from varied technical and operational backgrounds. Proficiency using Mac OS, iOS, and common desktop applications like Radar, Ai/ML/GPT tools, Slack, Wrike, Box, Quip, Miro, Keynote, Pages, or other Bachelor's degree in Industrial & Systems Engineering, Computer Science, Information Systems, Information Technology, or a related field; or equivalent job-related experience. PREFERRED QUALIFICATIONS Agile and Waterfall practitioner (certified if possible, e.g. PMP, SAPM, etc). Proven history in operationalizing new infrastructure, risk mitigation, and validating advanced hardware prior to deployment. Ops-Systems Project history includes problem-solution brainstorming & development, full end-to-end SDLC (Software Development Life Cycle), emergency projects, insertion midway into “in-trouble projects”, decommissioning and sustaining support, for single application to complex multi-application (internal & external partner)/interface) systems integrations. Expertise/experience in application source data analytics and governance solutions, integrations/interfaces/data pipelines, and data warehousing (e.g. EDW, Snowflake, Teradata). Familiarity with interpreting SQL, JSON, XML, API, EDI, and HTML. Ability to understand and create systems architectural visuals that include data flow diagrams, process flowcharts, and systems/process maps. Exposure to Privacy Data Governance and solutions like encryption, de-encryption, anonymization, de-anonymization, data masking, access authorizations, detection systems, and secure data enclaves for restricted data.

Responsibilities

The role involves collaborating with cross-functional teams to project manage, coordinate, and implement critical large-data integrations with security and privacy controls. The focus is on developing privacy-centric data solutions that leverage advanced data engineering and integrations.