Director Of Analytics Developer Jobs

1 job found

1d ago

Data Engineer, Microsoft Fabric and AI Director

GS1 Ewing, NJ

Ewing, NJ

1d ago

$140k - $160k/yr Full time Manager Analytics Artificial Intelligence

Apply Now

Job Description

GS1 Global Office is hiring a senior, hands-on Data Engineer Director (individual contributor) to build secure, scalable enterprise analytics and AI-enabled data pipelines.

Responsibilities

Design, develop, and maintain scalable data pipelines using Microsoft Fabric and Azure data services.
Build and support Lakehouse, Data Warehouse, and semantic model solutions using reusable design patterns.
Create reliable data integration processes using Microsoft Fabric Data Pipelines, Azure Data Factory, APIs, and other approved integration methods.
Support migration and modernisation initiatives involving Microsoft Fabric and Azure analytics services.
Optimise data processing for performance, scalability, maintainability, and cost efficiency.
Influence enterprise data architecture decisions and help evolve shared data models and analytics standards.
Design and build retrieval-augmented generation (RAG) pipelines that securely connect approved enterprise data to Claude AI and other approved large language model platforms.
Develop AI-enabled search and analytics building blocks, including data preparation, chunking, embeddings, indexing, and retrieval.
Support responsible adoption of approved enterprise AI and development tools, including Claude AI and Claude Code, with secure data-handling and access patterns.
Evaluate and prototype AI-enabled analytics use cases with senior leaders and technical stakeholders, including assessment of business value, architecture, risk, and guardrails.
Monitor and improve AI pipeline reliability, quality, performance, and cost in line with GS1 governance standards.
Maintain documentation, traceability, and human oversight for AI-enabled solutions.
Develop and maintain Power BI dashboards, reports, datasets, and semantic models to deliver actionable insights.
Support operational reporting, data-quality reporting, and prioritized ad hoc analytics requests.
Work with business stakeholders to understand requirements, define acceptance criteria, and translate needs into sustainable reporting solutions.
Promote consistent definitions, measures, and reporting practices across the organisation.
Implement data validation, observability, monitoring, and quality controls across data pipelines and analytics solutions.
Support metadata management, data lineage, documentation, retention, and governance requirements.
Design solutions aligned with GS1 information security, data privacy, access-control, and responsible AI requirements.
Implement role-based access controls, data classification, and auditability for data sensitivity and intended use.
Identify and escalate concerns related to data quality, security, privacy, model risk, and governance.
Develop automated testing and validation for data pipelines, semantic models, reports, and AI-enabled solutions.
Use Git, source control, CI/CD, and environment-management practices for reliable deployments across development, test, and production.
Monitor critical solutions, resolve incidents, and troubleshoot failures including refresh errors, reporting issues, RAG errors, and performance bottlenecks.
Perform root-cause analysis and implement preventative improvements.
Maintain technical documentation, operational runbooks, and recovery procedures; support release validation and business-continuity activities.
Provide technical leadership on data architecture, solution design, engineering standards, and responsible AI implementation.
Review code and solution designs, share knowledge, and coach team members in data engineering and analytics practices.
Partner with Product Owners, Data Engineers, QA, Software Engineering, and business stakeholders across a globally distributed organisation.
Communicate technical options, dependencies, risks, and costs to technical and non-technical audiences.
Assess trade-offs and make recommendations balancing business value, usability, security, scalability, cost, and maintainability.
Contribute to planning, architecture discussions, continuous improvement, and workload priorities across the BIDA team.

Requirements

Bachelor’s degree in computer science, data engineering, information systems, or a related field (or equivalent relevant professional experience).
At least 5 years of relevant experience in data engineering, business intelligence, or analytics, including responsibility for production solutions.
Strong practical experience with Microsoft Fabric, or significant experience with Azure Synapse, Databricks, or comparable modern cloud analytics platforms.
Strong experience developing Power BI reports, semantic models, and datasets.
Advanced SQL skills and experience with Azure SQL or comparable relational database services.
Practical experience building ETL or ELT solutions using Azure Data Factory, Microsoft Fabric Data Pipelines, or comparable orchestration tools.
Experience with dimensional modelling, data warehousing, and enterprise semantic models, including DAX.
Proficiency with Python and/or PySpark for data processing and automation.
Practical experience building/supporting RAG pipelines and working with large language model APIs such as Claude, OpenAI, or comparable platforms.
Experience with embeddings, vector search, or vector databases, plus prompt-based retrieval patterns and structured/unstructured data integration.
Experience with source control, automated testing, CI/CD, and production monitoring.
Experience implementing data security, role-based access controls, and privacy requirements in cloud data and analytics environments.

Technologies

Microsoft Fabric
Azure data services
Power BI
Azure Data Factory
Microsoft Fabric Data Pipelines
APIs
Lakehouse
Data Warehouse
Semantic models
Azure Synapse
Databricks
DAX
SQL
Azure SQL
Git
CI/CD
Python
PySpark
Retrieval-augmented generation (RAG)
Claude AI
Claude Code
OpenAI
Embeddings
Vector search
Vector databases
Prompt-based retrieval patterns
Role-based access controls

Preferred Experience

Microsoft Fabric or related Microsoft data-platform certification.
Experience with Microsoft Purview, OneLake, Azure DevOps, or GitHub.
Experience with Power BI administration, tenant governance, or capacity management.
Experience with large-scale analytical datasets and cloud cost optimisation.
Experience with Claude AI, Claude Code, or comparable enterprise AI coding and knowledge-work tools.
Knowledge of AI governance, responsible AI, model evaluation, and enterprise data-privacy practices.
Experience working in a global, federated, or matrixed organisation.

Travel Requirements

Occasional international travel and regular collaboration across European and United States time zones.

Location: Ewing, NJ (onsite) • Salary: USD 140,000 - 160,000 per year • Experience: 5+ years

View full job page →

Get Director Of Analytics Developer Jobs alerts

New Director Of Analytics Developer Jobs, daily.