Senior Product Designer, Payments Data

📍 Job Overview

Job Title: Senior Product Designer, Payments Data

Company: Commonwealth Bank

Location: Sydney, New South Wales, Australia

Job Type: FULL_TIME

Category: Product Design / Service Design / Data Services

Date Posted: 2026-06-04T00:00:00

Experience Level: 5-10 Years

Remote Status: Hybrid (50% Office Attendance)

🚀 Role Summary

• This role focuses on the strategic design and optimization of internal data services within the Payments domain, specifically enhancing how business teams access, interpret, and utilize payments data.

• It requires a blend of human-centered design, systems thinking, and strong analytical capabilities to improve data ingestion, structuring, and delivery across complex payment systems.

• The position involves close collaboration with business stakeholders, engineers, and architects to translate intricate data requirements into actionable service maps and process flows.

• Success in this role hinges on the ability to design and evolve end-to-end data services that drive efficiency, accessibility, and value for internal data consumers, impacting critical business outcomes and regulatory compliance.

📝 Enhancement Note: While the title is "Senior Product Designer," the core responsibilities and required skills clearly indicate a strong emphasis on Service Design principles applied specifically to internal data products and platforms within a financial services context. This role is less about UI/UX for external customer-facing products and more about the internal "product" of data services.

📈 Primary Responsibilities

• Apply Human-Centered Design (HCD) and systems thinking methodologies to architect and enhance internal data services and user experiences.

• Conduct in-depth analysis of data flows across upstream systems, storage layers, and downstream consumption points to identify inefficiencies, risks, and opportunities for optimization.

• Collaborate closely with business and technology stakeholders to thoroughly understand their data needs, pain points, and strategic objectives.

• Translate complex business and data requirements into clear, structured design artifacts, including service maps, detailed process flows, and comprehensive documentation.

• Design and iterate on end-to-end data services that significantly improve the accessibility, usability, and overall value proposition of data for internal users.

• Partner effectively with engineering, architecture, and product teams to ensure designed solutions are technically feasible, scalable, and well-aligned with existing platform capabilities.

• Clearly define and articulate user needs, business requirements, and acceptance criteria to guide and support successful delivery outcomes in Agile environments.

• Support prioritization and delivery planning by decomposing complex problems into manageable, actionable components for development teams.

• Proactively identify risks, dependencies, and constraints within data systems and actively contribute to the development and implementation of mitigation strategies.

• Champion and contribute to the continuous improvement of team workflows and processes, particularly in the areas of design, data management, and agile delivery.

📝 Enhancement Note: The responsibilities emphasize a "product" mindset applied to internal data services, requiring a deep understanding of system architecture and data pipelines, typical of a Senior Operations or Data Strategy role rather than a pure UX Designer.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in Design, Computer Science, Information Systems, Business, or a related field is often preferred for senior roles in this domain. Equivalent practical experience will also be considered.

Experience: 5-10 years of progressive experience in designing and optimizing complex systems, with a significant focus on data-centric products or internal service design. Experience in platform-based product development and a strong understanding of data lifecycles are critical.

Required Skills:

• Service Design: Proven ability to map customer journeys, service blueprints, and touchpoints for internal users, focusing on data consumption and interaction.

• Human-Centred Design (HCD): Expertise in applying HCD principles to understand user needs, pain points, and motivations within a data-driven environment.

• Systems Thinking: Demonstrated capacity to analyze and understand interconnected systems, data flows, and their impact on overall service performance.

• Data Analysis & Interpretation: Strong analytical skills to process complex data sets, understand data relationships, and identify trends or anomalies within payments data.

• Stakeholder Engagement & Management: Excellent ability to build rapport, influence, and align diverse stakeholders across business, technology, and delivery teams.

• Agile Methodology: Experience working within Agile frameworks (Scrum, Kanban) and collaborating effectively with engineering teams in iterative development cycles.

• Process Mapping & Workflow Design: Proficiency in creating detailed process flows, service maps, and diagrams to visualize and optimize data pipelines and user interactions.

• Strategic Design: Ability to connect design solutions to broader business objectives and long-term strategic goals.

• Requirement Definition: Skill in eliciting, documenting, and validating business and technical requirements for data services.

• Data Flow Analysis: Experience in tracing and documenting how data moves through various systems from ingestion to consumption.

• Analytical Capability: A robust foundation in analytical reasoning and problem-solving, especially concerning complex technical and data-related challenges.

Preferred Skills:

• Experience working specifically within the financial services or banking industry, particularly in payments.

• Familiarity with data governance, data quality principles, and regulatory compliance frameworks relevant to financial data.

• Experience with data visualization tools and techniques to communicate insights effectively.

• Knowledge of data architecture principles and database concepts.

• Exposure to API design principles and their role in data service delivery.

📝 Enhancement Note: The "AI_key_skills" and "AI_keywords" suggest a strong leaning towards product design applied to internal services, emphasizing process, data, and systems. The "5-10 Years" experience level aligns with a senior capacity for complex problem-solving and strategic design.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies: Showcase 2-3 detailed case studies demonstrating your work in service design, data service optimization, or internal platform design. These should highlight your process from problem identification to solution implementation and impact.

• Process Maps & Service Blueprints: Include examples of detailed process maps, service blueprints, or workflow diagrams that illustrate your approach to visualizing and improving complex systems.

• Data Flow Diagrams: Demonstrate your ability to analyze and document data flows across multiple systems, showing how you identified bottlenecks or inefficiencies.

• Requirement Artifacts: Provide examples of how you translated user needs and business requirements into clear, actionable documentation for technical teams.

• Problem-Solving Examples: Highlight instances where you applied systems thinking or HCD to solve complex challenges related to data accessibility or usability.

Process Documentation:

• Workflow Design & Optimization: Candidates are expected to have experience in designing and documenting optimal workflows for data ingestion, processing, and consumption.

• Implementation & Automation: Showcase an understanding of how designed services are implemented, potentially involving automation strategies for data delivery or system integration.

• Measurement & Performance Analysis: Demonstrate how you have defined metrics and measured the success or impact of designed data services, focusing on efficiency, usability, and business value.

📝 Enhancement Note: For a role like this, a portfolio is crucial. It should not just show design outputs but also the candidate's strategic thinking, analytical process, and understanding of how designs integrate into complex technical environments and deliver tangible business improvements.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior Product Designers/Service Designers with 5-10 years of experience in Sydney, Australia, within the financial services sector, the estimated salary range for this role is approximately AUD $130,000 - $170,000 per annum. This range can vary based on the candidate's specific experience, qualifications, and negotiation.

Benefits:

• Competitive Salary: As indicated in the estimated range, reflecting the seniority and specialized nature of the role.

• Hybrid Work Model: The flexibility of a hybrid work environment, requiring 50% office attendance in Sydney.

• Superannuation: Commonwealth Bank offers competitive superannuation contributions, typically above the statutory minimum.

• Health & Wellness Programs: Access to various health and wellness initiatives, including employee assistance programs and potential health insurance benefits.

• Career Development: Opportunities for professional development, training, and internal mobility within a large financial institution.

• Employee Share Plans: Potential access to employee share ownership or bonus schemes.

• Leave Entitlements: Generous annual leave, personal/carer's leave, and other leave provisions.

• Discounts & Offers: Potential access to discounted financial products and services offered by the bank.

Working Hours: Standard full-time hours, typically 40 hours per week. The hybrid model allows for some flexibility in scheduling, with an expectation of 50% office attendance in Sydney.

📝 Enhancement Note: Salary estimation is based on Sydney market rates for senior design roles in finance, considering the provided experience level and the nature of the role. Benefits are typical for large Australian corporations in the financial sector.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services, Banking. Commonwealth Bank is one of Australia's largest financial institutions, offering a wide range of banking, wealth management, and insurance products and services. This industry context implies a focus on security, compliance, data integrity, and customer trust.

Company Size: Large Enterprise (typically 10,000+ employees). This means extensive resources, established processes, and opportunities for specialized roles, but also potential for navigating complex organizational structures and longer decision-making cycles.

Founded: 1911. With over a century of history, CBA has a deeply embedded culture and a significant presence in the Australian market. This legacy suggests stability, established procedures, and a strong focus on long-term strategy.

Team Structure:

• Domain: Payments. This team is central to the bank's operations, handling core transaction processing for various payment types (real-time, bulk electronic, cheques, international).

• Sub-Team: Data Crew within Payments. This specialized group focuses on the bank's payments data, aiming to support new customer propositions and ensure regulatory compliance. They are responsible for building and leading data delivery capabilities.

• Reporting: Likely reports into a Product Management, Data Strategy, or Engineering leadership role within the Payments domain. The Senior Product Designer will collaborate closely with Engineers, Architects, Product Owners, and Business Analysts.

Methodology:

• Data-Driven Decision Making: The team's focus on data implies a strong reliance on data analytics to inform design decisions, identify opportunities, and measure impact.

• Human-Centered Design & Systems Thinking: These are explicitly called out as core methodologies, indicating a commitment to understanding user needs and the interconnectedness of systems.

• Agile Delivery: The mention of Agile environments suggests iterative development, cross-functional collaboration, and a focus on delivering value incrementally.

• Service Design: A key methodology for designing and optimizing internal services, ensuring a holistic view of the user experience and operational processes.

Company Website: https://www.commbank.com.au/

📝 Enhancement Note: The context of a large, established bank like Commonwealth Bank means that operational roles will involve navigating significant complexity, regulatory requirements, and established systems. The "Data Crew" focus highlights a strategic investment in leveraging data for business advantage.

📈 Career & Growth Analysis

Operations Career Level: Senior Product Designer. This level signifies a high degree of autonomy, expertise, and the ability to lead complex design initiatives. It involves not just execution but also strategic input, mentoring junior team members, and influencing design direction. In this context, it bridges product design principles with operational efficiency and data strategy.

Reporting Structure: The role likely reports into a Product Lead, Head of Design, or a similar senior management position within the Payments domain or a broader data/digital division. This structure allows for strategic alignment and cross-functional influence.

Operations Impact: The role has a direct impact on the operational efficiency and effectiveness of the Business Banking division by improving how internal teams access and utilize critical payments data. Better data services lead to more informed decision-making, improved product development, enhanced compliance, and ultimately, better customer outcomes and profitability.

Growth Opportunities:

• Specialization: Deepen expertise in payments data, financial services technology, or advanced service design within large-scale enterprise environments.

• Leadership: Transition into a Lead Product Designer, Service Design Lead, or Product Management role, potentially managing a team or a portfolio of data services.

• Cross-Functional Moves: Opportunity to move into related roles such as Product Management, Business Analysis, Data Strategy, or even broader operational leadership positions within the bank, leveraging deep domain knowledge.

• Mentorship: Opportunity to mentor junior designers and contribute to the growth of the design practice within CBA.

• Industry Exposure: Gain extensive experience in a highly regulated and technologically advanced sector, which is valuable across many industries.

📝 Enhancement Note: The "Senior" title and the nature of the role within a large organization suggest ample room for growth, both in terms of technical depth and leadership responsibilities, particularly within the specialized area of financial data services.

🌐 Work Environment

Office Type: Hybrid model with 50% office attendance. This implies a modern office space designed for collaboration, potentially in a large corporate campus or central business district location.

Office Location(s): Sydney, NSW - specifically noted as "Sydney | Permanent | Full Time | 50% Office Attendance" and the address "Sydney, NSW - CBP South, 11 Harbour Street". This is a prime corporate location in Sydney.

Workspace Context:

• Collaborative Spaces: The office environment is likely equipped with meeting rooms, breakout areas, and open-plan workspaces to facilitate interaction with colleagues.

• Technology & Tools: Access to modern design software, collaboration platforms, and potentially specialized data analysis tools and infrastructure.

• Cross-Functional Interaction: Frequent opportunities to engage with engineers, architects, product managers, business analysts, and other stakeholders from various departments.

• Focus Time: The hybrid model allows for dedicated focus time when working remotely, essential for deep analytical and design work.

Work Schedule: Standard full-time hours (approx. 40 hours/week) with flexibility inherent in the hybrid model. This schedule supports the need for both collaborative work during office days and focused individual work during remote days, crucial for complex data analysis and design tasks.

📝 Enhancement Note: The hybrid arrangement is a key feature, balancing the need for in-person collaboration and connection with the benefits of remote work for focused tasks, common in senior professional roles.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, interest, and cultural fit.

• Hiring Manager Interview: In-depth discussion with the hiring manager focusing on experience, strategic thinking, and role alignment.

• Design/Technical Assessment: This may involve a portfolio review, a take-home design challenge, or a live problem-solving session focusing on service design, data analysis, and systems thinking.

• Team/Stakeholder Interviews: Meetings with potential peers or key stakeholders (e.g., engineers, product owners) to assess collaboration skills, communication style, and technical understanding.

• Final Interview: Potentially with a senior leader in the domain to discuss overall fit and strategic alignment.

Portfolio Review Tips:

• Curate Strategically: Select projects that best showcase your experience in designing internal data services, applying HCD, systems thinking, and optimizing complex workflows.

• Tell a Story: For each project, clearly articulate the problem, your role, the process you followed, the challenges you faced, the solutions you designed, and the measurable impact (efficiency gains, improved data usability, cost savings).

• Highlight Data Focus: Emphasize how you analyzed data, understood data flows, and designed services to improve data accessibility and utility for internal users.

• Showcase Systems Thinking: Demonstrate your ability to understand the broader system context, dependencies, and how your design fits into the larger architecture.

• Be Prepared to Discuss: Be ready to walk through your process, explain your design choices, and answer questions about technical feasibility and stakeholder management.

Challenge Preparation:

• Understand the Domain: Research CBA's payments services, common challenges in financial data management, and the importance of internal data services.

• Practice Systems Thinking: Work through hypothetical scenarios involving data flow optimization or service design for internal tools.

• Refine Communication: Practice articulating complex ideas clearly and concisely, especially when discussing technical concepts or design rationale.

• Prepare for Ambiguity: Be ready to tackle problems with incomplete information, demonstrating your ability to ask clarifying questions and make reasoned assumptions.

📝 Enhancement Note: The emphasis on "Payments Data," "internal data services," and "systems thinking" means interviewers will look for a pragmatic, analytical designer who can navigate complex enterprise environments and deliver tangible operational improvements.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop) for creating service maps, user flows, wireframes, and prototypes.

• Collaboration Platforms: Miro, Mural for collaborative whiteboarding, ideation, and workshop facilitation.

• Project Management: Jira, Confluence for Agile workflow management, documentation, and tracking requirements.

Analytics & Reporting:

• Data Analysis Tools: While not explicitly stated as a requirement for the designer, familiarity with tools like SQL for data querying, or experience interpreting reports from BI tools (e.g., Tableau, Power BI) to understand data usage and identify pain points, would be highly beneficial.

• Analytics Platforms: Understanding how user interaction data is tracked and analyzed for internal services.

CRM & Automation:

• CRM: While this role is not directly customer-facing, understanding how CRM data might feed into or be consumed by internal data services could be relevant.

• Automation Tools: Awareness of how automation plays a role in data delivery pipelines (e.g., ETL processes, workflow automation tools) would be advantageous.

📝 Enhancement Note: Proficiency in core design and collaboration tools is essential. Beyond that, an understanding of the data ecosystem and how data is managed, processed, and delivered within an enterprise is crucial, even if the designer isn't directly using backend data tools.

👥 Team Culture & Values

Operations Values:

• Customer Focus (Internal): Prioritizing the needs and experiences of internal business users who rely on payments data.

• Data-Driven: Making decisions informed by data analysis, insights, and performance metrics.

• Collaboration: Working closely with diverse teams (business, technology, data) to achieve shared goals.

• Innovation & Continuous Improvement: Constantly seeking better ways to design, deliver, and optimize data services.

• Integrity & Accountability: Upholding high standards of data quality, security, and personal responsibility for outcomes.

• Efficiency: Designing processes and services that streamline operations and reduce manual effort.

Collaboration Style:

• Cross-Functional Integration: Expect a highly collaborative environment where designers work hand-in-hand with product managers, engineers, data analysts, and business stakeholders.

• Iterative Feedback Loops: Regular design reviews, sprint reviews, and stakeholder check-ins to gather feedback and ensure alignment.

• Knowledge Sharing: A culture that encourages sharing best practices, learnings, and insights across teams to foster collective growth and problem-solving.

• Pragmatic Approach: Balancing ideal design solutions with technical constraints, business priorities, and risk considerations inherent in a financial institution.

📝 Enhancement Note: The values reflect a blend of design thinking principles with the operational realities and responsibilities of working within a large, regulated financial services organization.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Payments Systems: Navigating highly intricate and often legacy payment processing systems, understanding their data structures and interdependencies.

• Data Silos & Integration: Working with data that may be fragmented across various systems, requiring significant effort to integrate and present cohesively.

• Regulatory Compliance: Ensuring all data services and designs adhere to strict financial regulations and security standards.

• Ambiguity: Dealing with evolving business requirements and technical landscapes, requiring adaptability and proactive problem-solving.

• Stakeholder Alignment: Gaining consensus and buy-in from multiple departments with differing priorities and perspectives.

Learning & Development Opportunities:

• Domain Expertise: Deepen knowledge in the payments industry, financial technologies, and enterprise data architecture.

• Advanced Design Skills: Master complex service design techniques for enterprise-level systems and data products.

• Leadership & Mentorship: Develop leadership capabilities by guiding design initiatives and mentoring junior team members.

• Industry Certifications: Pursue relevant certifications in Service Design, Agile, or Data Management.

• Cross-Functional Exposure: Gain a holistic understanding of banking operations from product development to regulatory compliance.

📝 Enhancement Note: The challenges are typical of senior roles in complex, regulated industries. The growth opportunities are substantial, leveraging the scale and scope of a major financial institution.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you applied Human-Centered Design to an internal data service. What was the problem, your approach, and the outcome?" (Focus on process, user empathy, and measurable results).

• "How would you approach designing a new data delivery service for our Business Banking teams, given the complexity of our payments systems?" (Assess systems thinking, problem decomposition, and strategic design).

• "Walk us through your process for analyzing complex data flows and identifying inefficiencies." (Evaluate analytical skills, data flow mapping, and problem-solving methodology).

Company & Culture Questions:

• "What interests you about Commonwealth Bank and specifically this role within the Payments Data team?" (Demonstrate research and genuine interest).

• "How do you approach collaboration with engineering and architecture teams in an Agile environment?" (Highlight teamwork, communication, and understanding of Agile principles).

Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly outline the business context, the specific problem you addressed, your unique contribution, the methodologies used (HCD, systems thinking, process analysis), the solution you designed, and the quantifiable impact or key learnings.

• Visualize Your Process: Use diagrams, flowcharts, and service maps to visually communicate your understanding of complex systems and processes.

• Quantify Impact: Where possible, use metrics (e.g., time saved, reduction in errors, improved data access times, increased user satisfaction) to demonstrate the value of your design work.

• Be Prepared for Deep Dives: Anticipate detailed questions about your design decisions, technical feasibility, and how you handled challenges or trade-offs.

📝 Enhancement Note: Candidates should prepare to demonstrate a strong understanding of both design principles and the operational realities of data management within a large financial institution. The interview will likely assess their ability to bridge these two worlds.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the Commonwealth Bank Careers portal via the provided link.

• Portfolio Customization: Tailor your resume and portfolio to highlight experience in service design, data service optimization, systems thinking, and working with complex data systems, particularly within enterprise or financial services contexts.

• Resume Optimization: Ensure your resume clearly articulates your years of experience, key skills (HCD, Systems Thinking, Data Analysis, Stakeholder Engagement), and quantifiable achievements relevant to designing internal services and improving data utilization.

• Interview Preparation: Practice articulating your design process, problem-solving approach, and experience with data flows using the STAR method. Prepare specific examples for behavioral and situational questions.

• Company Research: Thoroughly research Commonwealth Bank, its values, its position in the market, and the specific challenges and opportunities within the Payments domain. Understand their commitment to data and customer experience.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions. All information is based on the provided job details and general industry knowledge.