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Director Data Ai Jobs (NOW HIRING)

Cadent

Director, Data & AI Governance

Manhattan, NY · On-site

$180K - $210K/yr

We are seeking a visionary and strategic leader to join our team as the Director of Data and AI Governance. Reporting directly to Chief Data Officer, you will be the central pillar for all governance ...

Cadent

Director, Data & AI Governance

Manhattan, NY · On-site

We are seeking a visionary and strategic leader to join our team as the Director of Data and AI Governance. Reporting directly to Chief Data Officer, you will be the central pillar for all governance ...

Met Council

Senior Director, Data & AI Systems

New York, NY · On-site

$135K - $155K/yr

The Senior Director of Data & AI Systems will lead an in-house technical team, partner with internal and external stakeholders, including government agencies, community organizations, and financial ...

United Parcel Service (UPS)

About the Role We're hiring a Director, Data & AI Governance to lead how UPS scales AI governance, adoption, and organizational change across the enterprise. This is a transformation and adoption ...

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As of Sep 10, 2026, the average yearly pay for director data ai in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

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Sr. Director Data & AI Platform Architect

Atlanta, GA • On-site

Honeywell
Furniture Manufacturing • 10K+ employees
Learn more about Honeywellexternal

$64.75 - $86.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

Job description


As Senior Director Data & Artificial Intelligence (AI) Platform Architect at Honeywell Technologies, you will be responsible for defining and scaling the architecture for enterprise AI across cloud, edge, and hybrid environments. This leader will simplify complex platform landscapes, create reusable patterns, and align engineering, architecture, and business stakeholders around a practical strategy for Honeywell Forge AI growth.
You will report directly to the Sr. Director Data & AI and work from our Atlanta, GA location on a hybrid work schedule.
Responsibilities
KEY RESPONSIBILITIES
Platform Architecture Definition
  • Define, architect, evolve, and execute the enterprise AI platform architecture spanning data, AI, and agent capabilities, from reference design to production implementation.
  • Establish standards for lakehouse, streaming, vector databases, MLOps, and real-time inference platforms, and personally validate them through hands-on prototyping.
  • Create reusable architecture patterns, governance guardrails, and golden-path templates that accelerate delivery.
  • Simplify the technology landscape by reducing complexity, improving developer experience, and increasing platform scalability.

Emerging Technology Leadership
  • Evaluate emerging AI, data, agentic, and cloud technologies and translate insights into platform architecture decisions.
  • Lead hands-on proofs of concept and technology assessments that inform build-vs-buy and investment decisions.
  • Develop roadmap recommendations that balance innovation, business value, and operational readiness.

Cloud, Edge & Hybrid Platforms
  • Define scalable architecture patterns for cloud, on-premises, edge, and hybrid AI deployments.
  • Design for reliability, security, latency, data residency, and cost optimization across training and inference workloads.
  • Lead architecture for industrial edge AI, including real-time inference and OT/IT integration.
  • Drive resilient and resilient-by-design platform capabilities across training, inference, and data workloads.

Solution Architecture Community & Strategy
  • Lead the Forge Data & AI Architecture community and establish enterprise standards and best practices.
  • Chair architecture reviews to ensure alignment and consistency with platform standards.
  • Maintain reference architectures, blueprints, design patterns, and architecture decision records (ADRs) as the platform's technical source of truth.
  • Partner with business, product, and engineering leaders to align platform investments with strategic priorities.
  • Mentor architects and drive adoption of scalable, reusable AI platform patterns you define.

Qualifications
YOU MUST HAVE
  • 10+ years of hands-on architecture experience designing production AI/ML or data platforms at enterprise scale.
  • Deep experience with cloud AI and data services on at least one major hyperscaler, such as AWS, Azure, or GCP.
  • Proven ability to architect end-to-end ML systems, including data pipelines, feature engineering, training, serving, monitoring, feedback loops, and governance.
  • Hands-on experience with LLM and agentic systems, including RAG, vector databases, orchestration frameworks, and inference optimization.

US PERSON REQUIREMENTS
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
WE VALUE
  • MS or PhD in Computer Science, Machine Learning, Data Engineering, or related field, or equivalent applied experience.
  • Experience designing hybrid or edge architectures in industrial or operational technology environments.
  • Strong foundation in modern data architecture, including lakehouse, streaming, data governance, data quality, and data mesh concepts.
  • Demonstrated success simplifying platforms, improving developer experience, reducing tool sprawl, and creating reusable architecture patterns.
  • Industrial AI experience in areas such as predictive maintenance, quality inspection, process optimization, digital twins, supply chain, or energy management.
  • Experience with historian data, SCADA, IIoT, or industrial edge platforms.
  • Knowledge of AI security and governance patterns, including responsible AI, audit logging, explainability, confidential computing, federated learning, or regulatory compliance.
  • Experience with real-time or streaming AI systems, including low-latency feature computation, online learning, event-driven pipelines, or streaming inference.
  • Multi-cloud or cloud-agnostic platform design experience using Kubernetes, KServe, Ray, Terraform, or similar abstraction layers.
  • Open-source contributions, published architecture work, conference speaking, or recognized thought leadership in AI, data, or platform engineering.
  • Strong executive communication skills and experience influencing senior technical and non-technical stakeholders.

BENEFITS OF WORKING FOR HONEYWELL TECHNOLOGIES
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell Technologies employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information: Click Here
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more about inclusion and engagement: Click Here
About Us
Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world's most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition from automation to autonomy.

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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906

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