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Novisto

AI-driven platform for ESG data management

Director, Customer Delivery & Services

Solution EngineeringConfirmed live in the last 24 hours
Full-timeMontreal, QC, Canada

About the Job

Requirements

  • At least 7 years of experience in SaaS Professional and Advisory Services.
  • Experience defining a services strategy and owning a services performance metric such as operating plan, revenue, margin, attach rate, or utilization, with judgment about what to charge for and what to invest in the customer relationship.
  • Experience building or scaling a professional services or services operations function in B2B SaaS serving enterprise customers.
  • Hands-on experience packaging services, including catalogs, rate cards, scoping standards, and margins.
  • Experience implementing delivery infrastructure, including service-level agreements, quality governance, capacity models, and dashboards using Jira, professional services automation tools, or equivalent.
  • Concrete, measured examples of adopting artificial intelligence or automation in delivery work.
  • People leadership of specialist teams, with evidence of driving process change while retaining team engagement.

Responsibilities

  • Define and execute the global services strategy, including implementation, advisory, enablement, and realization offerings and the roadmap to strengthen them.
  • Own the services operating plan, revenue, and margin, and report on attach rate, advisory conversion, and services revenue contribution.
  • Own the services catalog and rate card, including inclusions, exclusions, pricing, and scoping standards, in partnership with the Vice President of Customer Success and pricing stakeholders.
  • Guide Customer Success Managers on billable work and standardize advisory scoping, proposals, and credit tracking.
  • Establish service delivery standards that improve time-to-value, solution adoption, customer confidence, and successful completion of critical reporting and assurance milestones.
  • Build delivery governance with quality reviews, milestone checkpoints, and clear escalation paths across services and support.
  • Measure delivery quality and customer outcomes alongside operational efficiency and financial performance.
  • Build and own the services queue end to end, including intake, triage, assignment, prioritization, and delivery against committed dates, with published service-level agreements for internal partners and customers.
  • Build a coverage and ownership model that preserves account knowledge through absences and transitions, supported by delivery dashboards covering throughput, cycle time, and aging.
  • Build a capacity and utilization model from ticket and delivery data, forecast demand against the ESG reporting calendar, including CDP, EcoVadis, and S&P seasons, and staff ahead of peaks.
  • Provide Customer Success leadership with a monthly view of capacity, delivery performance, and the unit economics of services work.
  • Convert high-volume, repetitive delivery work, including initial metric setup and configuration, digitization, backfills, bulk imports, and field mapping, into standardized, AI-assisted workflows with measured time savings.
  • Build a playbook library so quality does not depend on who handles a ticket.
  • Partner with Product so recurring delivery friction informs the platform roadmap and the product becomes a scale lever.
  • Set an efficiency agenda with targets so scale comes from design rather than headcount or extraordinary individual effort.
  • Act as the direct people leader for the ESG Analyst and Customer Support teams, providing weekly one-on-ones, coaching, performance feedback, and escalation support.
  • Protect the teams' development culture and route deep ESG-technical questions to senior analysts rather than personally arbitrating methodology.
  • Partner with Customer Success leadership on staffing new deals and with Onboarding peers on handoffs and escalations.
  • Contribute as a member of the Customer Experience leadership team, shaping delivery across the customer lifecycle.

Desired Qualifications

  • Experience leading multiple teams or leaders as a delivery organization scales.
  • Exposure to ESG, sustainability, carbon accounting, or the reporting ecosystem, including CDP, EcoVadis, GRI, ISSB, or CSRD.

About the Company

Novisto

AI-driven platform for ESG data management

Novisto is a technology platform that helps public companies manage ESG data. It provides an AI-powered, data-centric ESG data management platform to streamline data collection, disclosure, quality, and insights. Features include peer benchmarking and stakeholder engagement, all available on a subscription-based platform. How it works: clients upload or connect their ESG data; the platform uses AI to automate data gathering, validate quality, generate disclosures and insights, and compare performance against peers. Differences from competitors: a flexible, AI-driven platform focused on ESG data management with a clear emphasis on data quality, customization, and benchmarking for public companies, plus stakeholder engagement tools, delivered via subscription. Goal: help companies meet rising ESG disclosure demands from investors, regulators, and customers by improving sustainability performance through better data management and reporting.

Company size
51-200
Company stage
Series C
Total funding
$55.8M
Headquarters
Montreal, Canada
Founded
2019

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