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Datatonic

Enterprise cloud data and AI consulting

Delivery Lead

Program ManagementConfirmed live in the last 24 hours
Full-timeRemote in CanadaCA$120k - CA$140k /yrRemote

About the Job

Requirements

  • Multiple years of experience within a consulting firm, Big Four, technical consultancy, or software vendor focused on complex enterprise transformation.
  • Experience managing large-scale data and/or artificial intelligence transformation programs with million-plus-dollar scope, multi-year duration, and 10 or more team members.
  • Proven expertise in the pre-sales and commercial process, including statement of work creation, deal structuring, and managing scope through contracts.
  • Senior and executive stakeholder management experience, including communicating complex technical roadmaps in clear business language.
  • Commercial acumen and experience with financial management, forecasting, and profit and loss tracking for professional services engagements.
  • Deep understanding of Agile and hybrid ways of working, particularly in enterprise data programs.
  • Agile Project Management, Prince2, or Scrum certification.
  • Experience with JIRA or similar information technology service management software.

Responsibilities

  • Drive strategic alignment of technical delivery roadmaps to client strategy, focusing on measurable business objectives.
  • Develop expertise in one of the company's core verticals: Telecommunications, Agency, Media and Entertainment, or Financial Services and Insurance.
  • Define large transformation programmes, including the design of operating models and change management.
  • Lead execution of large, complex data and artificial intelligence transformation programmes with multiple concurrent workstreams, ensuring on-time, on-budget, high-quality delivery.
  • Link technical deliverables to measurable business outcomes, maximize return on investment, and track value realization after deployment.
  • Apply and improve delivery methodologies, including Agile, hybrid, and Waterfall, suitable for large enterprise environments, and act as a change agent within the client's organization.
  • Own account profit and loss, manage budgets, forecast revenue, track resource burn, and drive margins and profitability.
  • Own account health; drive renewals and upselling; identify and manage key stakeholders, financial forecasts, and strategic risks across the portfolio.
  • Manage communications and expectations with executive and C-suite stakeholders on the client and internal sides, maintaining customer satisfaction and trust.
  • Design and implement project governance systems suited to large enterprise engagements.
  • Contribute to delivery-function processes, operational efficiency, and excellence, and improve programme management frameworks.
  • Mentor and facilitate delivery teams to support programme success.
  • Plan milestones proactively, manage scope, monitor resource burn, maintain risk, assumption, issue, and dependency logs, and maintain project governance.

Desired Qualifications

  • Prior experience in a start-up or scale-up environment.
  • Prior experience managing multiple Project Managers.
  • Cloud certifications.
  • Experience with Salesforce or another customer relationship management tool for opportunity tracking and forecasting.

About the Company

Datatonic

Enterprise cloud data and AI consulting

Datatonic is a specialised data analytics and AI consultancy focused on helping enterprise clients harness data on Google Cloud. It builds and manages data platforms, migrates legacy systems to the cloud, and develops MLOps pipelines and Generative AI applications to improve decision-making and operational efficiency. The firm differentiates itself through deep Google Cloud expertise (a 10-time Google Cloud Partner of the Year), end-to-end services (cloud architecture, data analytics, AI/ML, and training), and a strategic growth path that includes acquisitions (Montreal Analytics, Syntio) to expand data engineering and North American presence. Its goal is to enable enterprises across sectors to unlock the value of their data, deploy AI solutions quickly, and continuously improve performance through analytics and AI capabilities.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2013

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