Senior Data & AI Strategy Leader

Accenture PLC; Ottawa; On-site; CAD 178,000 - 211,000; Full time

Job summary

Avanade Canada seeks a senior, credible Data and AI leader to drive architecture, governance, and delivery across large modernization programs. You will engage with client executives, shape data and AI strategy, and guide cross-functional teams to deliver secure, scalable data ecosystems.

The role emphasizes building reusable patterns, advancing governance, and growing capabilities within the data and AI practice while aligning with client objectives and regulatory requirements.

Qualifications

• 15+ years of experience across data warehousing, data engineering, data migration and modernization, data architecture, AI, ML, data science, analytics or related technology consulting.
• Established credibility engaging with senior business and technology executives.
• Proven consulting, professional services, or solution architecture experience.

Responsibilities

• Provide strategic direction for data, analytics, governance, and AI capabilities across major client programs.
• Engage senior client executives, solutioning, and delivery teams to translate business priorities into scalable data solutions.
• Lead architecture governance, design reviews, and delivery planning across multiple projects.
• Coach and mentor architects, data engineers, analysts, and delivery leads to build capability and reuse.
• Develop reusable architecture patterns, accelerators, and playbooks for data & AI programs.

Skills

Data leadership

Executive engagement

Delivery leadership

Strategic thinking

Solution selling

Tools

Microsoft Fabric

OneLake

Purview

Power BI

Azure Data Factory

Databricks

Job description

Avanade Canada seeks a senior, credible Data and AI leader to drive architecture, governance, and delivery across large modernization programs. You will engage with client executives, shape data and AI strategy, and guide cross-functional teams to deliver secure, scalable data ecosystems.

The role emphasizes building reusable patterns, advancing governance, and growing capabilities within the data and AI practice while aligning with client objectives and regulatory requirements.