AI & Data Architect

This is a fully remote position, open to applicants in Connecticut, +5 more states.

📋 Description

• Define and take ownership of the enterprise AI and data architecture roadmap.

• Align AI and data initiatives with the overarching business strategy and value realization.

• Establish standards for scalable and reusable AI and data capabilities.

• Provide advisory support to the CIO and business leadership regarding AI strategy.

• Design and implement contemporary enterprise data architecture utilizing lakehouse, mesh, or hybrid models.

• Define enterprise-wide data models, canonical schemas, metadata, lineage, data catalog, integration, and interoperability strategies.

• Lead the development of a centralized and scalable data platform.

• Establish enterprise capabilities for AI/ML platforms, including MLOps and LLMOps.

• Enable model lifecycle management from data ingestion through training, deployment, and monitoring.

• Standardize tooling, frameworks, and infrastructure for the delivery of AI.

• Drive the adoption of production-grade AI patterns.

• Define and enforce standards for data governance, ownership, stewardship, quality, master data, and lifecycle management.

• Resolve data fragmentation and facilitate a single trusted data foundation.

• Integrate responsible AI practices, emphasizing transparency, fairness, and explainability.

• Collaborate with security and risk leaders to mitigate AI risks, safeguard sensitive data and models, establish security standards, and implement auditability and controls.

• Serve as the enterprise authority for decisions regarding AI and data architecture.

• Define reference architectures, patterns, and reusable components.

• Lead architecture reviews for major data platforms and AI-enabled applications.

• Ensure consistency across various business units and technology teams.

• Partner with Engineering, Product, Security, and Operations teams.

• Foster a federated adoption model with central platforms and distributed execution.

• Build and mentor a high-performing team of architects and engineers.

• Promote collaboration through AI councils, governance forums, and working groups.

• Establish and adopt an enterprise AI and data platform across business units.

• Mitigate data fragmentation and implement clear ownership and governance.

• Standardize the AI delivery lifecycle to achieve measurable improvements in speed and quality.

• Enhance business impact from AI through increased revenue, cost efficiency, and improved decision quality.

• Drive consistency and reuse via architecture governance.

⛳️ Requirements

• 15+ years of experience in enterprise architecture, data architecture, or AI/ML platforms.

• Demonstrated experience in building enterprise-scale data and AI platforms.

• Proven track record of driving AI adoption from concept to production at scale.

• Strong background in cloud platforms (AWS, Azure, GCP) and distributed systems.

• Technical expertise in data architecture, including lakehouse, data mesh, ETL/ELT, and streaming pipelines.

• Technical expertise in AI/ML, covering model lifecycle, MLOps, generative AI, and LLM integration.

• Technical expertise in data governance, including metadata, lineage, and quality frameworks.

• Technical expertise in platform engineering, such as APIs, microservices, and cloud-native architectures.

• Knowledge of security and compliance principles for data and AI systems.

• Capability to operate at both strategic and deeply technical levels.

• Strong experience in establishing enterprise standards and governance.

• Proven ability to influence executive stakeholders and cross-functional teams.

• History of building high-talent-density teams.

• Must be legally authorized to work in the US.

• Employer will not sponsor the position for employment visa status now or in the future (e.g., H-1B).

🏝️ Benefits

• Opportunity for career growth and development.

• An inclusive environment that promotes diverse perspectives and ideas.

• Engaging and unique challenges that contribute to the success of a transforming organization.

• Comprehensive global benefits (PB Benefits and Wellbeing Programs).