Senior Solutions Consultant

Key Responsibilities

• Collaborate with the sales team to identify and qualify sales opportunities, understanding customer needs and business objectives related to data unification and AI.
• Develop and deliver engaging, customized product demonstrations and presentations that effectively showcase Reltio's value proposition.
• Design and propose high-level solution architectures that address specific customer requirements and integrate with their existing technology landscape.
• Develop and deliver highly customized, compelling product demonstrations and proof-of-concept (POC) engagements that showcase differentiated value.
• Respond to technical questions and objections from prospective & existing customers, providing clear and concise explanations.
• Lead and manage technical aspects of Request for Proposals (RFPs) and Request for Information (RFIs).
• Build and maintain strong relationships with technical stakeholders and decision-makers within prospect/customer organizations.
• Stay current with industry trends, competitive landscape, and Reltio's product advancements in data unification and AI.
• Provide feedback from the field to Product Management and Engineering teams to contribute to product enhancement and innovation.
• Assist in the creation of sales tools, best practices, and re-usable assets for the pre-sales organization.
• Support marketing events, including trade shows and webinars, by delivering presentations and demonstrations.

Requirements

• Minimum 3 years of experience in pre-sales, solutions consulting, or a similar customer-facing technical role within the enterprise software industry.
• Demonstrable understanding of enterprise data challenges, data integration concepts, and the value of data unification.
• Proven ability to articulate complex technical concepts to both technical and non-technical audiences.
• Excellent presentation, communication (written and verbal), and interpersonal skills.
• Strong problem-solving skills and the ability to think strategically and analytically.
• Experience with enterprise software sales cycles and methodologies.
• Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or a related field.
• Ability to travel to customer locations as needed.

Nice-to-Haves

• Experience with SaaS solutions, cloud architectures, and data platforms.
• Familiarity with AI/ML concepts and their application in data management or business intelligence.
• Hands-on experience with AWS, Google Cloud Platform (GCP), or Microsoft Azure.
• Knowledge of specific industry verticals (e.g., Life Sciences, Healthcare, Financial Services, CPG/Retail).
• Experience with data modeling, ETL processes, or API integrations.