Commercial Strategy & Data Analytics Architect - Morgan McKinley - #2119229
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Commercial Strategy & Data Analytics Architect
Location: Hybrid / Flexible / United Kingdom
Type: Full-time
Remuneration: £140-£150k (package £180k+)
Exclusive role
Drive Commercial Growth Through Data and Insight
We are seeking a highly analytical and commercially minded Business Architect to design and manage the data foundations that enable modern pricing, packaging, deal governance, and commercial analytics across a growing SaaS organisation.
This role acts as a key bridge between Sales, Finance, Product, Customer Success, Revenue Operations, and Data teams, ensuring pricing decisions are supported by trusted data, scalable architecture, and actionable insights.
The successful candidate will lead the design of pricing data models, governance frameworks, and analytics capabilities that optimise pricing strategy, improve revenue outcomes, accelerate decision-making, and support long-term business growth.
Key Objectives
- Establish a single source of truth for pricing and commercial performance data.
- Support ongoing pricing and packaging transformation initiatives.
- Enable the measurement of realised price uplift, pricing adoption, discount effectiveness, and commercial outcomes.
- Design scalable pricing analytics solutions within Databricks and Power BI environments.
- Develop governance and reporting frameworks that support executive and board-level decision-making.
Pricing Data Architecture
- Design and maintain enterprise pricing data models across:
- Salesforce CRM
- CPQ platforms
- ERP and Finance systems
- Revenue Recognition systems
- Product usage and customer data sources
- Create unified commercial data architecture supporting:
- List pricing
- Contracted pricing
- Discounting
- Renewals
- Upsell and cross-sell performance
- Define metadata standards, governance processes, and data quality frameworks for pricing-related data.
- Build executive dashboards and reporting frameworks measuring:
- Price realisation
- Net Revenue Retention (NRR) impact
- Discount effectiveness
- Win-rate performance
- Packaging adoption
- Competitive pricing effectiveness
- Develop analytical models to identify:
- Revenue leakage
- Margin optimisation opportunities
- Pricing anomalies
- Customer segmentation opportunities
- Deliver commercial performance reviews and actionable recommendations to senior stakeholders.
- Partner with Sales Operations, Finance, Product, and Revenue teams to define pricing KPIs and success metrics.
- Support commercial planning through pricing simulations, forecasting, and scenario modelling.
- Develop frameworks for analysing:
- Customer willingness to pay
- Packaging effectiveness
- Monetisation opportunities
- Commercial performance trends
You will bring a blend of technical expertise, commercial awareness, and stakeholder management skills, with the ability to translate complex data into meaningful business outcomes.
Essential Experience
- Proven experience designing and managing pricing, revenue, or commercial data architectures.
- Strong expertise in:
- Databricks
- Power BI
- Salesforce
- CPQ platforms
- Experience working within a SaaS or subscription-based business environment.
- Strong understanding of pricing strategies, discounting, renewals, and revenue performance metrics.
- Experience building executive-level dashboards and KPI frameworks.
- Excellent analytical and problem-solving skills with a focus on driving commercial impact.
- Experience supporting pricing transformation or packaging initiatives.
- Knowledge of revenue recognition and financial reporting processes.
- Familiarity with enterprise data governance practices.
- Advanced modelling, forecasting, and scenario-planning capabilities.
This is an opportunity to play a pivotal role in shaping how a leading technology organisation uses data to drive pricing strategy, revenue growth, and commercial excellence. You'll work with senior leaders across the business, influence strategic decisions, and help build the foundations for scalable commercial intelligence.
If you're passionate about combining data architecture, analytics, and commercial strategy to drive measurable business results, we'd love to hear from you.
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