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