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Business Transformation Lead
Full-time
Purpose of the Role The Business Transformation Lead serves as a strategic and execution partner to the Head of Marketing & Revenue Management, driving NetPay’s transformation agenda forward. By sitting at the intersection of strategy, data, and operational execution, this role turns high-level business priorities into concrete initiatives that directly boost scalability and performance. This leader is a key driver in evolving the organization into a state-of-the-art, data-driven model. The focus is on identifying structural inefficiencies and eliminating bottlenecks—particularly within acquiring operations and the payment terminal lifecycle—to ensure a seamless, high-impact execution across Tech, Data, Customer Service, and Commercial areas. Key Responsabilities Transformation Strategy & Roadmap
Co-define the transformation agenda and roadmap for NetPay, ensuring full alignment with business priorities, revenue growth, and market expansion objectives.
Identify structural inefficiencies and bottlenecks specifically within the acquiring ecosystem and the payment terminal (POS) lifecycle, aiming to improve scalability and operational performance.
Translate high-level strategy into actionable, high-impact initiatives with measurable results in revenue, cost optimization, and both merchant and customer experience.
Establish a "state-of-the-art" operating model by introducing best-in-class frameworks and prioritizing the automation of critical processes. Cross-functional Execution
Lead and orchestrate high-priority transformation initiatives by acting as a strategic partner to Operations, Economics, Tech, Customer Service, and Commercial teams.
Drive follow-through, governance, and accountability across all initiatives, ensuring that project milestones translate into tangible business impact.
Partner with Tech and Data teams to ensure the technical feasibility and data-driven validation of cross-functional projects. Process Redesign & Operational Excellence
Analyze and redesign key business processes (onboarding, settlement, support, etc.) to reduce friction and improve scalability.
Drive standardization, simplification and automation across the organization.
Introduce best practices and frameworks to move towards a best-in-class operating model. Data & Performance Management
Define and track key KPIs to measure transformation impact (efficiency, churn, conversion, cost-to-serve, etc.).
Leverage data and analytics to prioritize initiatives and support decision-making.
Ensure consistency in definitions and reporting across teams. Strategic Projects & Leadership Support
Act as a thought partner to leadership on high-priority topics and strategic decisions.
Bring external benchmarks, insights and best practices into the organization.
Lead or support special projects with high business impact. Requirements and Qualifications Education
Bachelor’s degree in Business, Engineering, Economics or related field.
Desirable: MBA or postgraduate studies in strategy, operations or analytics. Experience
6\+ years of experience in strategy, consulting, business operations or transformation roles.
Experience in fintech, payments, acquiring or financial services is a strong plus.
Proven track record leading cross-functional initiatives in complex organizations.
Skills
Strong problem-solving and structured thinking (consulting-style mindset).
Ability to translate data into insights and actionable recommendations.
Strong stakeholder management and influencing skills.
Advanced proficiency in Excel / data tools; familiarity with BI tools is a plus.
Excellent communication skills (clear, concise, executive-level). Core Competencies
Strong ownership and ability to drive initiatives from concept to execution
High level of autonomy and comfort operating in ambiguity
Ability to influence without authority across senior stakeholders
Structured thinking and prioritization
Business-oriented mindset with focus on impact
Key Relationships Internal: Business Strategy, Operations, Economics / Finance, Customer Service, Commercial, Product, Data
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