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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and executing Data-as-a-Product strategies and data monetisation approaches within Banking and Financial Services. Proven ability to lead multidisciplinary teams and engage with C-suite executives to drive data transformation and strategic partnerships.
Highest-signal resume keywords
Data-as-a-Product StrategyBanking Domain ExpertiseCloud Data EcosystemsExecutive-Level Client EngagementData & AI Transformation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Product Operating ModelData Monetisation StrategiesData GovernanceRisk ManagementRegulatory ReportingFraud DetectionAML/KYCPayments StrategyGo-to-Market PropositionsData Analytics
Soft Skills
Strong Executive PresenceCommercial JudgementCommunication SkillsMentoringThought Leadership
Tools & Technologies
Microsoft AzureDatabricksSnowflakeMicrosoft FabricCloud Data Platforms
Industry Keywords
BankingFinancial ServicesData TransformationDigital TransformationStrategic Partnerships
Tech Stack
Tools & technologiesAzureCloud
About the role
Key responsibilities & impact- Define and execute Data-as-a-Product, data product operating model and data monetisation strategies for Banking and Financial Services clients
- Develop industry-led go-to-market plans, value propositions and repeatable solution offerings across Retail Banking, Commercial Banking, Payments, Risk, Financial Crime and Compliance
- Lead creation, incubation and launch of data and AI products using modern cloud data platforms, analytics and AI capabilities
- Advise C-suite and senior business, data and technology leaders on data transformation roadmaps, investment priorities, operating models and value-led business cases
- Translate client challenges into scalable propositions improving customer insight, responsible data sharing, monetisation, risk management and digital transformation
- Drive market development, pipeline growth and strategic pursuits from origination through proposal and commercial close
- Build strategic alliances and co-innovation opportunities with hyperscalers, data platform providers and ecosystem partners
- Create market-facing thought leadership and strengthen the practice point of view
- Lead and mentor multidisciplinary consulting and engineering teams
- Convert banking data assets and market needs into differentiated, scalable Data & AI products and propositions while generating pipeline and revenue growth
Requirements
What you’ll need- Relevant experience across Data & Analytics, Data/AI consulting, product strategy, transformation or related leadership roles
- Significant experience in Banking and Financial Services
- Deep banking domain expertise across Risk, Customer 360, Regulatory Reporting, Fraud, AML/KYC, Payments and Data Governance
- Proven track record defining Data-as-a-Product strategies, data product operating models, data monetisation approaches and go-to-market propositions
- Experience shaping and selling complex Data & AI transformation engagements
- Executive-level client engagement, business case development and large deal pursuits
- Strong understanding of modern data architectures and cloud data ecosystems
- Experience with Microsoft Azure, Databricks, Snowflake, Microsoft Fabric or comparable technologies
- Ability to connect business strategy, data governance, technology and AI into scalable propositions
- Strong executive presence, commercial judgement and communication skills
- Experience developing strategic partnerships and working across complex, matrixed consulting, sales, delivery and technology organisations
- Ability to build thought leadership, represent the practice in the market and contribute to senior talent development
Benefits
Comp & perks- Strong support for career growth and learning
- Opportunities to build skills through knowledge sharing and continuous development
- Inclusive, purpose-driven team environment
- Exposure to cutting-edge technologies in a global, agile environment
- Opportunities to contribute to a more sustainable and inclusive future