Key Account Manager (Data & Market Intelligence)

We are looking for a Key Account Manager to own and grow relationships with enterprise customers using our MSI and VFI platforms and associated analytics engagements. The role will initially focus on Motor Sales Intelligence (MSI), a market intelligence and decision-support platform built on granular vehicle registration data, enabling automotive OEMs and businesses to analyse market share, sales patterns, product mix, micro-markets, dealer/network opportunities, financing trends and competitive dynamics. The KAM will also manage VFI engagements and other Data & Analytics solutions as the business expands.

This is not a conventional customer support role. The ideal candidate should be able to understand a customer's business problem, translate it into an analytics requirement, work with internal Product/Analytics teams to deliver the solution, communicate the insight back to the customer, and identify opportunities to deepen the relationship.

The candidate will have responsibilities across the following functions:

Account Ownership and Relationship Management:

• Own a portfolio of strategic enterprise/B2B accounts and act as the primary relationship owner.
• Build relationships with business heads, strategy, sales, market intelligence, analytics, network planning, finance and senior management stakeholders.
• Understand each customer's business priorities, decision-making processes and evolving data/analytics requirements.
• Establish yourself as a trusted business and analytics partner rather than only a product point of contact.

Analytics and Business Problem Solving:

• Understand customer business questions and translate them into structured analytics requirements.
• Work with customers to identify where granular market, sales, financing and competitive data can support business decisions.
• Develop an understanding of MSI/VFI capabilities and determine the appropriate product, dashboard, analysis or custom engagement for a given business problem.
• Interpret dashboards, reports and analytical outputs and communicate the key business implications to non-technical stakeholders.
• Support customers in converting data and analytics into actionable business insights.

Delivery and Customer Success:

• Own the end-to-end customer experience across onboarding, implementation, recurring deliveries, custom analyses and ongoing product adoption.
• Coordinate closely with Product, Analytics, Technology, Data and Support teams to ensure timely and accurate delivery.
• Own customer expectations, timelines, dependencies and escalations across MSI and VFI engagements.
• Review analytical outputs from a business perspective to ensure they address the original customer requirement.
• Conduct regular business reviews/QBRs covering delivered insights, usage, business requirements, challenges and future opportunities.
• Develop account-level success plans and drive measurable customer value.

Account Growth and Commercial Ownership:

• Identify opportunities for cross-sell, upsell, additional modules, custom analytics, new geographies/use cases and account expansion.
• Work with Sales to convert identified opportunities within existing accounts.
• Identify adjacent business problems that can potentially be solved using ZOOP's data and analytics capabilities.
• Support renewals by demonstrating ongoing product value and relevance to customer business priorities.
• Build multi-stakeholder relationships within accounts to increase product adoption and account depth.

Customer and Product Feedback:

• Capture structured feedback on product capabilities, data coverage, analytical requirements and customer workflows.
• Translate customer feedback into actionable inputs for Product, Analytics and Technology teams.
• Identify recurring customer requirements that could evolve into scalable product capabilities.
• Stay informed about customer industry dynamics, competitive landscape and emerging data/analytics use cases.

Requirements:

• Bachelor's degree in Business, Management, Technology, Finance, Economics, Engineering or a related field.
• 4+ years of experience in Key Account Management, Account Management, Customer Success, Client Servicing, Business Consulting, Solution Consulting or a similar B2B customer-facing role.
• Experience managing enterprise/B2B customers with multiple stakeholders.
• Experience with SaaS, data, analytics, BI, market intelligence, research, technology or enterprise solutions.
• Demonstrated ability to understand business requirements and translate them into actionable requirements for internal teams.
• Strong ability to understand and communicate data, analytics, dashboards and business insights.
• Strong Excel and data interpretation skills.
• Strong presentation, communication and stakeholder management skills, including interaction with senior business stakeholders.
• Experience managing customer implementations, recurring deliveries, projects or solution deployments.
• Commercial orientation with experience in retention, account expansion, cross-selling, upselling or revenue growth.
• Strong ownership and ability to independently manage multiple accounts, requirements and priorities.
• Basic understanding of SaaS/cloud-based products and technology platforms.
• Ability to bridge business, analytics, product and technology teams.

Preferred Background:

Candidates with experience in the following would be particularly relevant:

• B2B / Enterprise SaaS
• Data & Analytics / BI platforms
• Market Intelligence / Business Intelligence
• Automotive / OEM / Mobility
• Automotive dealership or dealer technology
• Vehicle financing / FinTech / BFSI
• Consulting / Business Consulting
• Research and analytics firms
• Enterprise technology/data products
• Customer-facing roles involving analytics, technology or complex B2B solutions
• Experience working with automotive OEM Sales, Strategy, Market Intelligence, Network Planning, Product Planning, Marketing or Finance teams would be an advantage.

Good to Have:

• Business-first mindset: Understands the customer's business problem before jumping to the product.
• Data orientation: Comfortable interpreting data and analytical outputs and asking the right questions.
• Consultative approach: Can turn a business question into an analytics problem and identify how ZOOP can help solve it.
• Delivery ownership: Takes responsibility for getting the right output to the customer, not simply coordinating tasks.
• Enterprise relationship skills: Can build credibility with both working-level users and senior decision-makers.
• Commercial mindset: Spots opportunities to expand relationships based on genuine customer requirements.
• Cross-functional execution: Can effectively bridge customers with Analytics, Product, Technology and Sales teams.
• High ownership: Comfortable working in a growing business where processes are still evolving, and customer requirements can be complex.