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An experienced Data & AI delivery leader who thrives at the center of complex, large-scale data migration and modernization programs - someone who can walk into a steering committee with a client CxO in the morning and a technical design review with a client Chief Architect in the afternoon and be equally credible in both rooms. As a Technology Delivery Lead within our AI-Ready Data tower, you own the end-to-end delivery of engagements spanning cloud data migration, data platform modernization, and AI-ready data enablement - managing scope, timelines, risk, and a large multi-functional team of data engineers, architects, and testers.

You bring deep delivery acumen and enough hands-on technical grounding in cloud data platforms to challenge architecture decisions, unblock technical risk, and keep a program on track - while your primary value is in orchestrating people, scope, and stakeholders toward a predictable, high-quality outcome.
What you'll be doing:

Delivery Leadership

• Own end-to-end delivery of large data migration and data modernization engagements - managing scope, budget, timeline, quality, and risk across multiple workstreams.
• Establish and run delivery governance: RAID logs, dependency tracking, cutover/parallel-run planning, and status reporting cadences with client and Accenture leadership.
• Manage critical risks proactively, bringing structured options and recommendations to client and internal stakeholders rather than just surfacing problems.
• Drive adoption of Accenture's AI-accelerated migration methodology and delivery assets to compress traditional migration timelines and improve quality.

Client & Stakeholder Management

• Build and manage trusted relationships with client technology architects, engineering leads, and delivery counterparts on day-to-day solution and delivery decisions.
• Support senior client conversations (CDO, VP Data & Analytics, Head of Data Platforms, Engineering) on program status, risk, and value realization, in partnership with account leadership.
• Translate between business priorities and technical execution, ensuring the delivery team understands the 'why' behind scope and sequencing decisions.

Team & Talent Leadership

• Lead and mentor a large, multi-functional team spanning data engineering, architecture, and quality engineering, fostering a culture of ownership, collaboration, and continuous improvement.
• Partner with resourcing and staffing teams to build and flex delivery teams (onshore/offshore) against program demand.
• Coach emerging leads and managers within the team, supporting their growth into delivery leadership roles.

Technical Credibility

• Maintain working fluency in cloud data platforms (AWS, Azure, or Google Cloud), ETL/ELT processes, data warehousing/lakehouse architectures, and data modeling - enough to engage credibly on design trade-offs.
• Champion data governance, quality, and security practices across the engagement, ensuring compliance with client and regulatory standards.
• Stay current on cloud data services, AI-ready data patterns, and modernization tooling to bring fresh points of view to client engagements.

Role is hybrid, 2-3 days in office is mandated by client.

Here's what you need:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• 8-12 years of experience in data solutions delivery, including at least 3-5 years leading delivery teams or workstreams on large-scale data migration or modernization programs.
• Proven experience delivering data solutions on cloud platforms such as AWS, Azure, or Google Cloud, including data lakes, pipelines, and real-time data processing.
• Solid understanding of data architecture, ETL/ELT, data warehousing, and data modeling; working knowledge of Python, SQL, and modern data platform tooling.
• Demonstrated ability to manage RAID logs, dependencies, and cutover planning across multi-workstream programs.
• Strong stakeholder management skills, with experience engaging both client technical leads/architects and, in support of account leadership, senior business stakeholders.
• Experience leading cross-functional and often onshore/offshore delivery teams, with a track record of mentoring and developing talent.
• Understanding of data governance frameworks and experience enforcing data quality, security, and compliance standards across large datasets.
• Excellent verbal and written communication skills, with the ability to translate complex technical concepts for non-technical audiences.

Nice to have:

• Previous experience within the consulting/systems-integration industry, ideally supporting proposals, SOWs, or staffing estimates for data engagements.
• Hands-on experience with modern cloud data platforms such as Databricks, Snowflake, or similar lakehouse technologies.
• Experience with modern data pipeline/orchestration tooling (e.g., Airflow, Fivetran) and ETL tools such as Informatica IDMC/IICS.
• Exposure to GenAI-accelerated migration or data-modernization tooling (e.g., AI-assisted code/data conversion, AI-based data mapping and reconciliation).
• Experience with data modeling, big data platforms (e.g., Cloudera, Hortonworks), MySQL/NoSQL, and CQRS/Event Sourcing patterns.
• Relevant certifications - AWS/Azure/GCP data or solutions architect, PMP, or Scrum/SAFe.
• Experience in one or more priority industries - Banking & Capital Markets, Health & Public Service, Communications/Media/Technology, Resources, or Products

#LI-NA-FY25

Compensation at Accenture 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, Accenture 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 base pay range shown below is intended as a guideline to reflect the majority of offers for this role.
It does not represent a maximum limit - in some cases, actual compensation may exceed the range where appropriate.

Information on benefits is here.

Role Location Annual Salary Range
British Columbia/Ontario/New Brunswick $172,100 to $323,600