IT Enterprise Architect Strategist 9754-1312

HM Note: This hybrid contract role is five (5) days in office. Candidate resumes must include first and last name, email and telephone contact information. Description Responsibilities: Develops recommends, implements and manages IT Enterprise Architecture (EA) strategy and architect deliverables for the organization General Skills: Demonstrated experience in development and implementation of Enterprise Architecture Knowledge and experience in Application architecture, Technology Architecture, Artificial Intelligence (AI) Demonstrated Strategic thinking and development, aligns strategic objectives with technology and resources Ability to define business capabilities and processes Experience providing direction on operationalizing business strategy including systems, processes and required data. Demonstrated Transformation thinking, and understanding of data interdependencies Experience identifying technology risks and mitigations Experience developing IT strategy aligned with business vision Ability to streamline application landscape for optional performance, decommission redundancy and reduce cost Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; presentation skills; interpersonal and negotiation skills A team player with a track record for meeting deadlines Desirable Skills: Experience in Stakeholder Engagement including presentations and briefing notes and conducting / facilitating meetings Experience and knowledge in Project Management Skills Experience and Skill Set Requirements Role Overview: We are looking for an experienced senior IT enterprise strategist to support the development and implementation of Data & AI strategies spanning technology, people and processes. The individual will also assist the leadership team with various activities related to enterprise architecture, business case development, procurement, communication, partnership management with clusters and ministries. Key Responsibilities: Lead and contribute to the development of ODP's technology strategy in alignment with enterprise strategy and architecture Lead the development of strategy execution plans and ODP roadmap Lead and contribute to the development of ODP development and operational processes Evangelize strategy and implementation plans with various stakeholders to secure buy-in Collaborate with Enterprise Data Stewardship to ensure strategic and execution alignment and support Partner with various IT clusters and ministries to support the alignment to ODP Lead and contribute to the creation of strategic and tactical executive communication and general collateral Contribute to enterprise and solution architecture, management and financial artifacts Actively lead and participate in program and project management of various ODP initiatives Lead the creation and execution of RFP's, RFS's to support the capability growth of ODP Skills & Qualifications: Advanced degree or equivalent education/experience 15+ years of experience in data & AI strategy and execution in a large multi-stakeholder environment Experience with Data & AI Governance processes and technologies Excellent diverse team management skills Applied experience with various modern data technologies especially in the cloud Experience with data related development tools Advanced conceptualization and problem-solving skills Excellent verbal and written communication skills Agile and traditional project/program management experience and PMP certification Excellent stakeholder management and influencing skills Ability working in Agile, fast-paced, data-driven environment Experience as an enterprise architect Preferred Qualifications: Knowledge of Government of Ontario's structure and business processes Expert skills in strategy and strategy implementation, but also able to roll-up sleeve to do whatever it takes TOGAF certification Experience with Azure and Databricks as well as AI technologies Must have: 15+ years of experience in data & AI strategy and execution in a large multi-stakeholder environment Experience with Data & AI Governance processes and technologies Experience with Azure and Databricks as well as AI technologies