Account Executive — Data & Intelligence Services
New
CanadaFull-TimeMiddle
SalaryCompetitive base salary ranging from CAD $110,000 to $130,000, plus variable compensation opportunities.
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Job Details
- Experience
- 4+ years
- Required Skills
- Data analytics
Requirements
- 4+ years of enterprise B2B sales experience in data platforms, analytics, data consulting, AI infrastructure, or related professional services.
- Proven track record of closing complex, long-cycle deals in the 6- to 7-figure range.
- Strong domain understanding of data architecture, knowledge systems, semantic search, or AI/data infrastructure.
- Ability to engage credibly with senior executives such as CDOs, CTOs, CIOs, and VP-level data and digital leaders.
- Demonstrated success in independently sourcing pipeline and building momentum in emerging or growing market segments.
- Experience with structured sales methodologies such as MEDDIC or similar frameworks.
- Ability to collaborate with delivery teams to define scope, manage risk, and support statement-of-work development.
- Comfort using AI-enabled tools to improve efficiency across the sales lifecycle.
- Strong organizational discipline, self-direction, and ability to operate in ambiguous, evolving environments.
- Excellent communication and stakeholder management skills across complex enterprise organizations.
Responsibilities
- Originate and close new enterprise business across data modernization, AI infrastructure, knowledge architecture, and enterprise data consulting services.
- Lead discovery conversations with senior stakeholders to translate complex data challenges into measurable business and operational outcomes.
- Manage full-cycle sales processes, including prospecting, solution shaping, proposal development, negotiation, and contract closure.
- Navigate complex, multi-threaded enterprise buying groups using structured sales methodologies such as MEDDIC.
- Partner closely with technical and delivery teams to co-develop solutions and define statements of work aligned with client needs.
- Co-sell with technology ecosystem partners to expand pipeline and accelerate deal velocity.
- Leverage AI tools and modern sales technologies to enhance prospecting, outreach, forecasting, and pipeline management.
- Maintain disciplined forecasting, pipeline accuracy, and consistent achievement of revenue targets.
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