Vice President, Data Architecture, Engineering & AI
Role Specific Information Job Description About the Role The VP, Data Architecture and Engineering is accountable for the vision, strategy, and execution of the enterprise data platform and engineering capabilities that enable business growth, operational efficiency, and customer centric innovation. This leader partners closely with business and technology teams to elevate data into a durable and scalable enterprise asset. In alignment with the VP of A.I and Transformation, who defines enterprise A.I strategy and prioritizes business use cases, this role owns the data architecture, platforms, and engineering foundations required to operationalize, scale, and reliably run A.I solutions in production across the enterprise. What You’ll Do Define and own the data product and technical data science strategy, aligning with enterprise technology and business priorities Lead the design, development, and lifecycle management of data products that support business operations, customer insights,
Data ArchitectureData Engineering LeadershipAI ML Leadership
Data & AI Manager
Tools / Tech: Microsoft Fabric (OneLake, Power BI, Data Factory, Synapse, Real-Time Analytics), Azure Data Services About the Team & Impact You will lead enterprise Data & AI transformation initiatives, helping deliver scalable, cloud-based analytics platforms. This role bridges business and technology to drive measurable outcomes using Microsoft Fabric and modern data architecture. Responsibilities Lead end-to-end delivery of Data & AI programs across planning, execution, and governance Build relationships with executives and key stakeholders to align on outcomes Translate technical solutions into business value and strategy Drive program governance including scope, risks, and dependencies Oversee Microsoft Fabric implementations and data platform modernization Coordinate cross-functional teams (engineering, analytics, AI) Facilitate executive steering committees and decision forums Develop adoption and change management strategies Monitor delivery performance using KPIs,
Data ScienceData & AI ManagementData Platform Engineering
Data Architect - Senior
This is a remote position. Client is seeking a Senior Data Architect to support the OneData Alberta and Crosswalk initiatives. The role focuses on enterprise data architecture, Data Fabric/Data Mesh frameworks, cloud and hybrid data platforms, AI-enabled data products, secure data sharing, and enterprise-wide interoperability. The consultant will provide strategic architectural leadership for modern data ecosystems across platforms including Snowflake, Microsoft Azure, and Cloudera, enabling scalable, governed, and secure enterprise data solutions. Deliverables Enterprise architecture documents and solution designs Data models, semantic layer designs, and integration frameworks AI-enabled data product architectures Crosswalk and data linkage documentation Data governance and metadata standards Proof-of-concept implementations Weekly/monthly status reports Technical recommendations and assessments Requirements Mandatory Requirements Education Bachelor’s Degree, Diploma, or Certificatio
DeveloperData ArchitectSenior Data Architect
[ISO] Data Architect
Project – the aim you’ll have Define and govern the end-to-end data architecture that enables a scalable, secure, and business-aligned data platform — ensuring that data engineering, analytics, ML, and API initiatives are built on a coherent, future-proof foundation. Position – how you’ll contribute Define and own the end-to-end data architecture across lake, warehouse, and real-time streaming layers Establish architectural standards, design patterns, and best practices for all data domains Lead technology evaluation and selection for the cloud-native data platform stack Drive the long-term platform roadmap, including AI/ML readiness and data monetisation capabilities Design metadata management, data lineage, and access control frameworks in line with governance requirements Embed privacy-by-design, security, and compliance (including GDPR) at the architectural level Act as technical authority and design partner for Data Engineers, Data Scientists, and ML Engineers Represent data arch
Data ArchitectureData EngineeringData Platform Engineering
Principal Software Engineer
We are seeking a highly experienced Principal Software Engineer to lead enterprise-wide architectural initiatives, define long-term technology strategy, and deliver highly scalable, resilient distributed systems. This role requires deep expertise in system design, performance engineering, reliability architecture, and cross-organizational technical leadership. Requirements Define enterprise-level architectural standards, system design principles, and engineering guardrails that shape engineering work across multiple business units. Lead the design and implementation of highly scalable, fault-tolerant distributed systems that operate at global scale. Architect multi-region, fault-tolerant, and globally distributed platforms with rigorous attention to availability, durability, and disaster recovery. Drive enterprise modernization initiatives, including microservices transformation, platform consolidation, and legacy decommissioning. Define API governance, data architecture, and service
Senior Principal Software EngineerPrincipal Software EngineeringPrincipal Software Developer
Manager, Data Analytics - Remote
This role is contingent upon a contract award. ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance, and AI-enabled capabilities for a complex federal technology services program. This role will support the design, implementation, and sustainment of data policy, standards, governance processes, portfolio management practices, data architecture, data quality controls, analytics products, dashboards, and secure data access models. The ideal candidate has demonstrated experience leading enterprise data initiatives in regulated environments, with strong technical credibility across data governance, data architecture, data engineering, analytics, data quality, metadata management, and responsible AI-enabled analytics. This role requires the ability to translate business, operational, and mission needs into governed, secure, and usable data capabilities that support decision-making, performance management, and continuous improvement. Job Locati
Data & AnalyticsData GovernanceEnterprise Data Management