1,570 jobs for "Business Analytics Lead"

Manager, Software Engineering | Data & AI Platform

At Mastercard - Arlington

Posted on Oct 22

View job Apply on company site

Partner Success Engineering Manager, Enterprise Technology Services

At Apple - Elk Grove

Posted on Oct 15

View job Apply on company site

Strategic Space Planner

At Apple - San Jose

Posted on Oct 11

View job Apply on company site

Senior Data Science Manager - Worldwide Product Marketing

At Apple - Cupertino

Posted on Oct 10

View job Apply on company site

Latin America (ALAC) AIML Data Quality & Governance Scientist

At Apple

Posted on Sep 27

View job Apply on company site

Senior Product Manager, Acuity Scheduling, Payments

At Squarespace - New York City

Posted on Sep 26

View job Apply on company site

Supply Chain Analyst - Senior

At Cummins - Dolj

Posted on Sep 24

View job Apply on company site

Director, Global Finance Operations - Director, Global Finance Operations - Order to Cash Delivery

At Nike - Beaverton

Posted on Sep 17

View job Apply on company site

Group FP&O Performance Junior Manager

At Diageo - Budapest

Posted on Aug 13

View job Apply on company site

Sr. Solutions Engineer

At Northwestern Mutual – Corporate Careers - Milwaukee

Posted on Aug 6

View job Apply on company site

Latin America (ALAC) AIML Data Quality & Governance Scientist

At Apple

Posted on Jun 12

View job Apply on company site

Software Engineer

At Nike - Beaverton

Posted on Apr 21

View job Apply on company site

Sales Agency Project Intern (Scaled Growth) - 2026 Start (BS/MS)

At TikTok - Sao Paulo

Posted on Dec 13

View job Apply on company site

Senior Director: Enterprise Workforce Planning Transformation

At Aristocrat - North Ryde

Posted on Oct 9

View job Apply on company site

Senior Managing Consultant, Services Business Development

At Mastercard

Posted on Nov 7

View job Apply on company site

Product Management Group Manager- Marketing Customer Analytics

At PNC Financial Services Group - Tysons Corner

Posted on Nov 3

View job Apply on company site

Product Management Group Manager- Marketing Customer Analytics

At PNC Financial Services Group - Chicago

Posted on Nov 3

View job Apply on company site

Product Management Group Manager- Marketing Customer Analytics

At PNC Financial Services Group - New York

Posted on Nov 3

View job Apply on company site

Product Management Group Manager- Marketing Customer Analytics

At PNC Financial Services Group - Pittsburgh

Posted on Nov 3

View job Apply on company site

Product Management Group Manager- Marketing Customer Analytics

At PNC Financial Services Group - Tysons Corner

Posted on Nov 3

View job Apply on company site

Apple

Latin America (ALAC) AIML Data Quality & Governance Scientist

Posted Sep 27, 2026

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Apple's Latin America (ALAC) AI/ML team is looking for a rare combination: someone who is as comfortable discussing sales channel dynamics and business process logic as they are designing graph schemas and data pipelines.

As an AIML Data Quality and Governance Scientist, your core work will be to listen deeply to business experts, extract and formalize what they know, and encode it into Enterprise Knowledge Graphs that become the trusted foundation
for AI agents, analytical tools, and decision-support systems used by sales teams across ALAC.

This is not a role that works in isolation. The knowledge graphs you build must fit coherently into a broader, interconnected enterprise knowledge ecosystem - and your definitions, ontologies, and data models must be consistent with and linkable to graphs owned by partner teams, so that the sales user always gets a single, coherent, trustworthy picture.

You will also lead data quality and governance efforts -translating the CoE Lead's governance strategy into documented, enforceable policies and operational standards across ALAC's data assets - and design ingestion architectures for unstructured, structured, and partner/channel/third-party data sources. Regular status and impact reporting to leadership on data quality trends and governance progress will be part of your ongoing rhythm.

Description
Business Knowledge Capture & Translation

- Engage deeply with business stakeholders across sales, channel operations, and analytics -in close collaboration with the AI Business Process Champion- to extract domain expertise and bridge how the business thinks about its data with how AI systems need that knowledge structured
- Translate business concepts, sales processes, channel structures, and operational logic into precise, formal ontologies and knowledge graph schemas
- Codify metric definitions, calculation rules, and business hierarchies in a way that is unambiguous, governed, and accessible to both humans and AI systems

Enterprise Knowledge Graph Development

- Design, build, and continuously evolve enterprise knowledge graphs that represent ALAC's business entities, data assets, metrics, channels, and processes in a machine-readable, AI-consumable form - maintaining backward compatibility and communicating schema changes to downstream consumers
- Ensure knowledge models are architecturally consistent with and linkable to enterprise knowledge graphs owned by global partner teams - your graph is a regional node in a larger connected ecosystem
- Incorporate partner, channel, and third-party data sources into the knowledge graph - ensuring external data is governed, traceable, and integrated with the same rigor as internal assets
- Map end-to-end data lineage from raw source to derived metric, consuming the AI Business Process
- Champion's process maps as primary inputs when modeling business flows and interdependencies

Data Quality & Governance

- Build and operationalize data quality monitoring pipelines - defining rules, anomaly detection, and drift analysis to surface issues before they reach AI outputs or sales-facing tools
- Document and enforce data governance policies and procedures - translating the CoE Lead's governance strategy into operational rules, standards, and enforcement mechanisms, with quality checks embedded at ingestion, transformation, and serving layers
- Optimize existing data processes and workflows for efficiency - actively improving how data flows through the organization, not just monitoring quality
- Establish data quality SLAs, dashboards, and regular leadership reporting on governance progress, data quality trends, and alignment with the business roadmap

Unstructured Data Architecture

- Propose and design ingestion pipelines for unstructured content - market reports, channel briefings, operational documents - making them first-class citizens in the knowledge graph
- Apply embedding models, entity extraction, and classification techniques to transform unstructured inputs into structured, linked knowledge - ensuring AI tools can reason with equal confidence over structured and unstructured sources

AI Enablement for Sales Users

- Design retrieval architectures - including vector search and graph traversal - aligned to the CoE Lead's solution architecture, and build evaluation pipelines to measure how accurately AI agents consume ALAC-specific knowledge
- Collaborate with global AI platform and engineering teams to ensure ALAC knowledge is correctly integrated and surfaced in shared AI tools and agents
- Keep the sales user experience as the north star - every knowledge modeling decision should make it easier for a sales team member to get a fast, accurate, trustworthy answer

Cross-functional & Global Collaboration

- Collaborate actively with regional and global teams spanning analytics, AI platforms, technology infrastructure, sales operations, and channel management - navigating a complex, multi-stakeholder environment with clarity and credibility
- Align ALAC knowledge models, ontology choices, and metric definitions with global standards - and influence upstream data model design so new data assets are born with the quality and semantic richness the knowledge graph requires
- Establish and communicate a clear roadmap for ALAC's knowledge graph and data quality initiatives, managing expectations across regional and global stakeholders

Preferred Qualifications
Experience working within a federated enterprise knowledge graph ecosystem - building graphs designed to interoperate with graphs owned by other teams
Background in sales, channel operations, or business process domains
Experience integrating knowledge graphs with LLM-based agents and RAG pipelines
Familiarity with data governance frameworks (DAMA-DMBOK or equivalent) and experience managing governance projects from planning through execution
Experience with partner, channel, or third-party data sets - ingestion, quality assessment, and integration into governed environments
Experience leveraging AI/ML and automation to scale governance processes and improve data quality programmatically
Spanish proficiency
Advanced degree, MS or Ph.D., a plus

Minimum Qualifications
6+ years in Data Science, Knowledge Engineering, or a related field - with demonstrated experience extracting complex business concepts and translating them into formal ontologies, schemas, or knowledge graph structures
Hands-on experience designing and building knowledge graphs (e.g., Neo4j, GraphDB, Amazon Neptune) in a production environment
Proficiency in graph query languages (Cypher, SPARQL, Gremlin), semantic standards (RDF, OWL, SHACL), and metadata management tools (e.g., Alation, Collibra, DataHub)
Strong experience with data quality frameworks - rule definition, monitoring pipelines, anomaly detection, and drift analysis
Experience designing ingestion pipelines for unstructured data as well as ETL/integration workflows for structured data across internal and external systems
Proficiency in SQL, Python, and at least one major data platform (Snowflake, Spark, or Hadoop)
Familiarity with vector similarity search, embedding models, and RAG architectures
Strong communication and stakeholder management skills - comfortable influencing across regional and global teams without direct authority
Bachelor's degree in Computer Science, Information Science, Statistics, Engineering, or a related field
Fluent in English and Portuguese

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

View company profile