At Avanade, we help organizations use the power of Microsoft technologies to drive meaningful business outcomes. As a

Senior Manager, Data Engineering & AI

, you will lead complex client engagements, shape cutting-edge data and AI solutions, and oversee delivery across large-scale transformation programs.

This role requires a blend of deep technical expertise, consulting leadership, delivery management, and talent development

, operating at the intersection of business strategy, advanced analytics, and AI. You will act as a trusted advisor to senior client stakeholders while building, growing, and leading high-performing, multidisciplinary teams.

Day To Day, You Will

- Client Engagement Leadership
- Lead end-to-end client engagements from opportunity shaping through delivery execution.
- Act as a trusted advisor to senior client stakeholders (Director, VP, and C-level).
- Facilitate workshops, discovery sessions, and solution design engagements.
- Business Development & Practice Growth
- Contribute to sales activities, including lead origination, proposal development, and opportunity shaping.
- Support the closing of Data & AI deals and expansion of existing client relationships.
- Build and evolve go-to-market offerings and reusable accelerators within the Data & AI practice.
- Talent Leadership
- Lead hiring, mentoring, and performance development of data engineering and AI talent.
- Evaluate candidates for data engineering and AI roles.
- Build and sustain a strong, diverse, and scalable talent pipeline.
- Solution Architecture & Engineering
- Define end-to-end data and AI architectures, including data ingestion, transformation, serving, and AI/ML layers.
- Design scalable solutions leveraging Azure, Microsoft Fabric, Databricks, and modern data platforms.
- Ensure alignment with enterprise architecture, governance, and security standards.
- AI & Innovation
- Drive adoption of AI and machine learning solutions, including Generative AI and agentic patterns.
- Lead proof-of-concept (PoC)



and MVP initiatives to validate innovative approaches.
- Contribute to internal innovation efforts and thought leadership within the Data & AI practice.
- Delivery Leadership
- Oversee large-scale data engineering, analytics, and AI programs.
- Manage cross-functional delivery teams, including data engineers, architects, and data scientists.
- Drive quality, risk management, and successful delivery outcomes across engagements.

Qualifications

Qualifications

Skills And Experience

- 10-15+ years of experience in data engineering, data platforms, or Data & AI roles.
- 5+ years of experience in leadership roles managing teams and client-facing engagements.
- Strong experience within the Microsoft Azure ecosystem, including Azure Data Factory, Synapse, Microsoft Fabric, and Databricks.
- Solid understanding of AI/ML concepts, including MLOps and Generative AI.
- Proven experience in consulting or professional services environments.
- Excellent communication, presentation, and stakeholder management skills.

Preferred Experience / Capabilities
- Experience with Microsoft Fabric and Power BI.
- Knowledge of data governance, security, and compliance, including Purview and row-level security (RLS).
- Experience delivering solutions in regulated industries such as financial services or public sector.
- Familiarity with DevOps and CI/CD practices for data platforms.

Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanade provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below.The recruiting efforts for this position are intended to fill a brand new position. The recruiting efforts for this position are intended to fill a brand new position.

Information on benefits is here.

British Columbia / Ontario - $172,000 - $204,250

We anticipate this job posting will be posted on 05/13/2026 and open for at least 20 days.

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