Sales Executive - Data & Analytics Practice

About the role

At Verndale, we are building a next-generation Data & Analytics practice designed to help organizations transform their complex data ecosystems into engines of clarity and intelligent action. Our vision is to empower clients to unlock hidden opportunities, optimize operations, and accelerate profitable growth through modern data architectures, trusted data management, advanced analytics, and AI-driven solutions. As part of a digital experience services firm with a strong heritage in customer experience and marketing technology, our Data & Analytics team extends Verndale’s core capabilities to deliver seamlessly integrated, insight-driven solutions that fuel personalization, operational excellence, and strategic foresight.

We are pragmatic innovators, grounded in Verndale’s entrepreneurial culture, who design scalable, well-governed data platforms and embed intelligence into business workflows, enabling clients to thrive in the era of generative AI and beyond.

• Prospect, qualify, and close new business opportunities focused on data strategy, analytics, AI/ML, and modern data platforms
• Manage the end-to-end sales cycle including outreach, pitch, RFP/proposal, negotiation, contracting, and seamless handoff to delivery teams.
• Engage with C-suite and senior business leaders (CMOs, CIOs, CDOs, CXOs) to understand priorities and articulate the business value of data & AI
• Collaborate with partners (cloud providers, data platforms, AI tool vendors) to co-sell and expand reach through alliances and joint solutions.
• Build and maintain a robust sales pipeline, leveraging disciplined forecasting and CRM hygiene to meet or exceed targets.
• Partner with Data Architects, Engineers, and AI/ML Specialists to ensure proposals are strategically aligned, feasible, and differentiated
• Contribute to Verndale’s thought leadership and visibility by attending industry events, webinars, and developing client-facing content
• Continuously monitor market, competitor, and technology trends (e.g., generative AI, data privacy, cloud adoption) and feed insights into sales strategies.

• 5–10+ years of experience in enterprise sales, business development, or consulting, with a strong focus on data, analytics, AI, or adjacent digital services.
• A proven track record of closing complex, multi-stakeholder deals with high-value revenue impact.
• Strong understanding of data & AI ecosystems (cloud platforms, data warehouses, AI/ML frameworks) and ability to translate technical capabilities into business outcomes and ROI.
• Demonstrated success selling into marketing, sales, and IT functions, shaping solutions that align to strategic business priorities.
• Consultative selling skills, including discovery, solution shaping, pricing/ROI articulation, and contract negotiation.
• Excellent communication skills with the ability to engage and influence C-level executives and non-technical stakeholders.
• A proactive, entrepreneurial mindset—comfortable working in a fast-paced, evolving environment with a high sense of ownership and urgency.
• Experience using generative AI tools (e.g., ChatGPT, Gemini, Claude) for research, prospecting, proposal tailoring, and content development.
• Discipline in pipeline management and forecasting, with hands-on experience using CRM and sales enablement platforms.

• Existing industry relationships in Retail, Financial Services, Healthcare, Sports & Entertainment, or Manufacturing.
• Experience working with or through strategic technology partners (e.g., Snowflake, Databricks, Microsoft, Google Cloud, AWS).
• Background in solution engineering, presales, or technical consulting, enabling stronger collaboration with delivery teams.
• Familiarity with emerging areas such as generative AI, responsible AI, data governance, and MLOps.
• Prior experience in a consulting, agency, or professional services environment, selling digital transformation engagements.