Customer Solutions Architect

The Customer Solution Architect (CSA) is a strategic, customer-facing technical leader responsible for retaining and expanding Teradata ecosystems through technical engagement, advocacy, and opportunity progression. The CSA blends deep technical acumen in data architecture, analytics, AI, and cloud platforms with strong customer relationship skills to influence adoption, showcase value, and drive innovation. As a trusted advisor, the CSA proactively engages customers to understand their business and technical landscapes, mitigate risks, and uncover growth opportunities. The role supports both pre- and post-sales motions, with a strong emphasis on maximizing platform utilization, identifying technical differentiators, and advancing ARR through technical progression.

Customer Advocacy and Relationship Leadership

• Establish and maintain trusted relationships across customer organizations from technical leads to executive sponsors.
• Act as a prescriptive advisor, enabling early-warning systems and remediation plans to maintain or improve account health.
• Relay customer feedback, technical blockers, and solution gaps internally to influence product direction and ensure timely responses.
• Demonstrate value realization of Teradata solutions through ongoing customer engagement and success planning.

Adoption and Innovation

• Champion adoption by highlighting Teradata's technical differentiators and underutilized capabilities.
• Educate customers on emerging trends, industry benchmarks, and new Teradata capabilities through technical briefings, innovation days, and workshops.
• Develop and deliver reusable technical collateral, POVs, and hands-on engagements (e.g., VHOEs) tailored to customer needs.
• Collaborate with customers to identify net-new use cases and align the Teradata platform with long-term strategies.

Technical Opportunity Progression

• Lead technical discovery, solution design, and scoping to advance identified growth opportunities that lead to an increase in ARR.
• Create and maintain a "Technical Vision for Success" specific to each account, mapping current-state and future-state architectures.
• Secure entitlements, validate platform readiness, and align cloud provisioning (e.g., SITEIDs, VPC, network requirements).
• Support quoting, ordering, proposal development, and stakeholder communication across internal teams and the customer.
• Execute high-value, cost-effective sales motions such as demos, benchmarks, and PoCs to de-risk opportunity progression.

Technical Influence and Execution

• Develop trusted technical leadership through thought leadership, proactive ownership, and field-proven credibility.
• Influence customer architecture strategy to include Teradata Vantage through modern data and analytics blueprints.
• Align technical execution with account team strategy and customer success goals, ensuring long-term platform expansion.
• Remain continuously educated on Teradata's full portfolio and adjacent technologies to guide complex customer conversations.

• Excellent verbal and written communication skills.
• Possess a keen interest and understanding of developments in data and analytic solutions including emerging AI/ML trends.
• Experience in promoting analytic solutions for large enterprises in either a pre-sales or delivery role.
• Must have experience with Cloud technologies such as AWS, Azure and Google Cloud.
• Must have knowledge of the competitive landscape and an understanding of Teradata's differentiators.
• A clear, confident and persuasive communicator who can craft, summarize and deliver messaging for various groups of users, influencers and stakeholders.
• Demonstrate ability to understand customer's needs and provide thought leadership to influence and build trust at multiple levels.
• Possess the ability to multi-task and manage competing priorities across multiple customers.
• Possess strong analytical and problem-solving skills.
• Demonstrate excellent organizational and people skills.
• Have a degree level qualification or relevant experience in computer science, software engineering, mathematics, management information systems or a related discipline.