Senior Manager, Data Enablement & UX Design

📍 Job Overview

Job Title: Senior Manager, Data Enablement & UX Design Company: RBC Location: MISSISSAUGA, Ontario, Canada Job Type: Full-Time Category: Data & Analytics / Management & Leadership Date Posted: December 16, 2025 Experience Level: 5-10 Years Remote Status: On-site

🚀 Role Summary

• Lead the strategic development and execution of data visualization and reporting solutions, ensuring user-centric design and consistent branding.
• Drive the creation of impactful performance dashboards and data delivery frameworks to empower stakeholders with actionable insights for data-driven decision-making.
• Oversee a high-performing team of data visualization, analytics, and UX professionals, fostering a culture of innovation, collaboration, and continuous learning.
• Act as a strategic advisor to senior leadership on emerging trends, tools, and technologies in data enablement and user experience.
• Champion data quality, governance, and best practices to ensure the integrity and reliability of data insights delivered.

📝 Enhancement Note: This role is positioned as a strategic leadership opportunity within RBC's data enablement function. The emphasis on "UX Design" alongside "Data Enablement" indicates a strong focus on how data is consumed and interacted with, moving beyond traditional BI reporting to a more user-centric approach. The scope includes team leadership, strategy development, and cross-functional collaboration, typical of a Senior Manager role in a large financial institution.

📈 Primary Responsibilities

• Develop and implement a comprehensive, forward-looking strategy for data visualization, reporting, and data delivery mechanisms that directly supports and aligns with RBC's overarching organizational objectives.
• Lead, mentor, and develop a team of data visualization specialists, analytics professionals, and UX designers, fostering an environment that encourages high performance, innovation, and professional growth.
• Oversee the end-to-end design, development, deployment, and ongoing maintenance of executive-level performance dashboards and operational reports, ensuring they are intuitive, visually compelling, and adhere to RBC's brand guidelines.
• Cultivate and maintain strong, collaborative relationships with senior stakeholders across various business units, acting as a subject matter expert and trusted advisor on data enablement, user experience, and advanced analytics.
• Drive the exploration and adoption of new data sources, cutting-edge visualization tools, and advanced analytical techniques to continuously improve the depth, breadth, and actionability of insights provided to the business.
• Establish and enforce robust data governance, data quality assurance protocols, and data management best practices to ensure the accuracy, reliability, and security of all data outputs.
• Promote a culture of continuous improvement, experimentation, and learning within the team, encouraging the exploration of emerging technologies and methodologies to push the boundaries of data enablement.
• Translate complex business requirements and challenges into clear, actionable data solutions and user experiences that drive tangible business outcomes and informed decision-making.

📝 Enhancement Note: The responsibilities highlight a blend of strategic leadership, team management, technical oversight, and stakeholder engagement. The emphasis on "forward-looking strategy," "emerging trends," and "new data sources" suggests a proactive and innovative approach to data enablement, rather than just maintaining existing systems. The inclusion of UX design implies a significant focus on user adoption and the practical application of data insights.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Computer Science, Data Science, Information Technology, Business Analytics, Design, or a related quantitative field.
• Master's degree or relevant professional certifications in Data Analytics, UX Design, or Project Management are highly desirable.

Experience:

• 5-10 years of progressive experience in data visualization, business intelligence, user experience (UX) design, and analytics.
• Demonstrated experience in leading and managing teams, with a proven track record of developing talent and fostering a collaborative work environment.
• Extensive experience in designing and implementing complex dashboards and reporting solutions for executive-level audiences.
• Proven ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines in a fast-paced financial services environment.

Required Skills:

• Data Visualization Expertise: Expert proficiency in leading data visualization platforms such as Tableau, Power BI, or QlikView, with a strong portfolio showcasing impactful dashboard design and data storytelling.
• UI/UX Design Principles: Deep understanding and practical application of user interface (UI) and user experience (UX) design principles, with the ability to create intuitive, user-friendly, and visually appealing data interfaces.
• Analytics & Data Governance: Strong command of advanced analytics techniques, data governance frameworks, data quality assurance processes, and data management best practices.
• Stakeholder Management & Communication: Exceptional ability to build rapport, manage expectations, and communicate complex technical concepts clearly to diverse stakeholders, including senior leadership.
• Leadership & Team Development: Proven experience in leading, mentoring, and developing high-performing teams, fostering a culture of accountability, collaboration, and continuous improvement.
• Strategic Thinking: Ability to develop and execute strategic roadmaps for data enablement, aligning data initiatives with broader business objectives and identifying opportunities for innovation.

Preferred Skills:

• Advanced Analytics: Experience with predictive modeling, machine learning, statistical analysis, and other advanced analytical techniques.
• Technical Proficiency: Familiarity with programming languages like Python and SQL for data manipulation and analysis, as well as experience with big data technologies (e.g., Hadoop/HDFS).
• Brand Alignment: Understanding of corporate branding guidelines and design principles, ensuring all data visualizations are consistent with RBC's brand identity.
• Emerging Technologies: Knowledge of current and emerging trends in data enablement, visualization tools, and data delivery platforms.

📝 Enhancement Note: The "Must have" section emphasizes hands-on technical skills in visualization tools and analytics, coupled with robust leadership and stakeholder management capabilities. The "Nice to have" section points towards a desire for candidates with deeper technical skills (Python, SQL, ML) and an understanding of corporate branding, suggesting that this role bridges technical execution with strategic business alignment. The 5-10 year experience range is typical for a Senior Manager role in a large organization, requiring both technical depth and leadership maturity.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Impactful Dashboards: A curated selection of dashboard examples that demonstrate analytical rigor, effective data visualization, and clear communication of key performance indicators (KPIs). Each example should highlight the business problem addressed and the resulting impact.
• User-Centric Design Showcase: Evidence of UI/UX design applied to data reporting, showcasing how user needs were identified and translated into intuitive and easy-to-navigate interfaces. This could include wireframes, user flow diagrams, or interactive prototypes.
• Process Improvement Case Studies: Detailed case studies illustrating how your leadership and team have optimized data delivery processes, improved data quality, or enhanced the efficiency of reporting workflows. Quantifiable results and ROI are crucial.
• Strategic Data Enablement Initiatives: Documentation of strategic projects or initiatives led that expanded data capabilities, introduced new tools, or significantly improved stakeholder access to actionable insights.

Process Documentation:

• Workflow Design & Optimization: Examples of designing and documenting data visualization workflows, from data ingestion and transformation to dashboard creation and distribution. Emphasis on efficiency, scalability, and maintainability.
• Data Governance & Quality Implementation: Documentation showcasing how data governance policies, data quality checks, and validation processes were implemented and managed within data visualization projects.
• Stakeholder Engagement & Requirements Gathering: Evidence of structured approaches to gathering business requirements, managing stakeholder feedback, and ensuring delivered solutions meet user needs and expectations.

📝 Enhancement Note: For a Senior Manager role in Data Enablement & UX Design, a portfolio is critical. It's not just about showing pretty dashboards, but demonstrating strategic thinking, leadership impact, process optimization, and a user-centric approach. The portfolio should serve as tangible proof of the candidate's ability to lead initiatives that drive business value through data.

💵 Compensation & Benefits

Salary Range: Given the Senior Manager title, extensive experience required (5-10 years), and the large financial institution context (RBC), a competitive salary range is expected. For a Senior Manager, Data Enablement & UX Design in Mississauga, Ontario, Canada, the estimated annual salary range is CAD $120,000 - $170,000. This estimate is based on industry benchmarks for similar roles in major Canadian financial hubs, considering responsibilities for team leadership, strategic planning, and specialized technical expertise.

Benefits:

• Comprehensive Health & Wellness: Extended health and dental benefits, prescription drug coverage, vision care, and employee assistance programs.
• Retirement Savings: Access to a defined benefit pension plan and/or defined contribution plan, with employer matching contributions.
• Financial Well-being: Competitive base salary, potential for annual bonuses based on individual and company performance, and employee stock purchase plans.
• Work-Life Balance: Generous paid time off (vacation, personal days), potential for flexible work arrangements, and paid holidays.
• Professional Development: Opportunities for ongoing training, certifications, conference attendance, and career advancement within a large, global organization.
• Employee Perks: Discounts on RBC products and services, and access to wellness programs and initiatives.

Working Hours: The standard working hours for this full-time position are 37.5 hours per week, typically aligning with standard business hours in Mississauga (e.g., 9:00 AM to 5:00 PM Eastern Time). While the role is on-site, there may be an expectation for some flexibility to accommodate critical project deadlines, stakeholder needs in different time zones, or urgent data-related issues.

📝 Enhancement Note: Salary ranges are estimates based on publicly available data for similar roles in the specified location and industry. Benefits are typical for large financial institutions like RBC, focusing on comprehensive well-being, financial security, and professional growth. The 37.5-hour work week is standard, but the nature of a leadership role in data means some flexibility might be expected.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services (Banking) Company Size: RBC is one of the largest financial institutions globally, employing over 90,000 individuals. This large scale provides stability, extensive resources, and diverse career opportunities but can also mean navigating complex organizational structures. Founded: 1864, indicating a long-standing history and deep roots in Canadian financial services, suggesting a culture that values tradition, stability, and long-term client relationships, while also adapting to modern technological advancements.

Team Structure:

• Operations Focus: The role sits within a data enablement and UX design function, likely serving multiple business units within RBC's Personal & Commercial Banking or a broader enterprise data division.
• Reporting: As a Senior Manager, the role will report to a Director or VP level, overseeing a team of individual contributors (Data Analysts, Visualization Specialists, UX Designers) and potentially junior managers.
• Collaboration: Expect extensive cross-functional collaboration with IT, business lines, marketing, product development, and other data/analytics teams to ensure data solutions are integrated and meet diverse stakeholder needs.

Methodology:

• Data-Driven Decision Making: RBC emphasizes leveraging data and analytics to inform strategic decisions, optimize client experiences, and manage risk.
• User-Centricity: A growing focus on understanding and meeting client needs through intuitive interfaces and accessible insights, reflected in the "UX Design" aspect of this role.
• Agile & Iterative Processes: While core banking functions may be more traditional, technology and data teams often adopt agile methodologies for faster development and iterative improvement of tools and platforms.
• Governance & Risk Management: Given its status as a major bank, rigorous adherence to data governance, regulatory compliance, and risk management frameworks is paramount.

Company Website: https://www.rbc.com/

📝 Enhancement Note: Understanding RBC's scale, history, and industry is crucial. The company culture likely balances established financial services traditions with a drive for digital transformation and innovation in data and customer experience. The team will operate within a matrixed environment, requiring strong collaboration and influence skills.

📈 Career & Growth Analysis

Operations Career Level: This role represents a significant mid-to-senior leadership position. A "Senior Manager" in a large corporation like RBC typically involves managing a team, owning a strategic function, and having a direct impact on business outcomes. It's a step beyond individual contribution or junior management, requiring strategic vision, operational excellence, and leadership acumen.

Reporting Structure: The Senior Manager will likely report to a Director or Vice President of Data, Analytics, or a related technology/business enablement function. They will lead a team of individual contributors and potentially junior managers, overseeing their performance, development, and project delivery. This position acts as a key bridge between executive-level strategy and frontline execution in data enablement and user experience.

Operations Impact: The impact of this role is substantial. By enabling stakeholders with superior data visualization, user-friendly dashboards, and actionable insights, the Senior Manager directly influences:

• Strategic Decision-Making: Empowering senior leadership with clear, data-backed information to make informed strategic choices.
• Operational Efficiency: Streamlining reporting processes and making data more accessible, reducing time spent on data retrieval and analysis.
• Client Experience: Contributing to the design of data-driven client-facing tools and experiences that are intuitive and valuable.
• Risk Management: Ensuring data quality and governance, which are critical for regulatory compliance and risk mitigation in a financial institution.
• Innovation: Driving the adoption of new technologies and methodologies to unlock new data insights and capabilities.

Growth Opportunities:

• Leadership Advancement: Potential to progress to Director or VP-level roles within Data, Analytics, Digital Transformation, or specific business units at RBC.
• Specialization Deepening: Opportunity to become a recognized expert in advanced data visualization, UX design for data, or enterprise data strategy.
• Cross-Functional Mobility: Potential to move into broader strategic roles, product management, or business transformation leadership roles within RBC, leveraging a strong understanding of data's strategic value.
• Learning & Development: Access to RBC's extensive learning resources, leadership development programs, and opportunities to attend industry conferences to stay abreast of the latest trends in data, analytics, and UX.

📝 Enhancement Note: This section frames the role not just as a job, but as a career advancement opportunity. It highlights the strategic influence and potential for growth within a large, established organization like RBC, which is a key consideration for senior operations professionals.

🌐 Work Environment

Office Type: This is an on-site role, indicating a traditional corporate office environment within RBC's Meadowvale Business Park location in Mississauga. This setting typically supports structured work, in-person collaboration, and access to on-site resources.

Office Location(s): The primary work location is the Meadowvale Business Park at 6880 Financial Drive, Mississauga, Ontario. This location is a significant business hub, likely offering good transportation links and amenities for employees.

Workspace Context:

• Collaborative Spaces: The office environment likely includes dedicated meeting rooms, collaboration zones, and potentially open-plan areas designed to facilitate teamwork and brainstorming sessions among the data enablement and UX design teams.
• Technology Infrastructure: As a financial institution, RBC will provide robust IT infrastructure, including high-performance workstations, secure network access, and access to a wide array of enterprise-grade software and tools necessary for data analysis, visualization, and design.
• Team Interaction: The on-site nature encourages regular face-to-face interaction with team members, direct reports, and cross-functional colleagues, fostering stronger relationships and more dynamic problem-solving.

Work Schedule: The standard work schedule is 37.5 hours per week, typically Monday to Friday during business hours. While this is an on-site role, large organizations like RBC often offer some degree of flexibility in terms of daily start/end times, provided core business hours and meeting commitments are met. This flexibility can be important for managing personal needs while ensuring operational continuity.

📝 Enhancement Note: For an on-site role at a large financial institution, the work environment is expected to be professional, well-resourced, and conducive to structured work and collaboration. The emphasis is on providing the necessary tools and collaborative spaces to support the team's strategic objectives.

📄 Application & Portfolio Review Process

Interview Process: The interview process for a Senior Manager role at RBC will likely be multi-stage, designed to assess leadership capabilities, strategic thinking, technical expertise, and cultural fit.

1. Initial Screening: A recruiter or HR representative will conduct an initial phone screen to assess basic qualifications, experience, and interest in the role.
2. Hiring Manager Interview: A discussion with the hiring manager (likely a Director or VP) to delve deeper into your leadership experience, strategic approach to data enablement and UX, and team management philosophy.
3. Panel Interview / Team Interviews: You will likely meet with key stakeholders, potential peers, and members of your future team. This stage focuses on assessing your collaboration style, technical depth, problem-solving skills, and ability to articulate your vision.
4. Portfolio Review & Presentation: A dedicated session where you will present your portfolio, showcasing specific case studies of successful data visualization, UX design, and process improvement initiatives. Be prepared to discuss challenges, solutions, and quantifiable outcomes.
5. Executive Interview: A final interview with a senior executive (e.g., VP or SVP) to evaluate strategic alignment, leadership potential, and overall fit with RBC's organizational values.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 of your most impactful projects that best represent your leadership, strategic thinking, and hands-on expertise in data visualization and UX design. Ensure a mix of complexity and business impact.
• Focus on the "Why" and "So What": For each project, clearly articulate the business problem, your strategic approach, the specific challenges encountered, the solutions implemented (highlighting your role and team's contribution), and the measurable business outcomes (ROI, efficiency gains, improved decision-making).
• Showcase UX Integration: For this role, explicitly demonstrate how UX principles were integrated into data solutions. Show wireframes, user flows, or explain how user feedback shaped the final product.
• Data Storytelling: Present your work as compelling narratives. Use clear, concise language and visually appealing slides. Be prepared to answer detailed questions about your process, tools used, and decision-making rationale.
• Tailor to RBC: Research RBC's current strategic priorities, recent initiatives, and any publicly available information on their data strategy or digital transformation efforts. Frame your portfolio examples to highlight how your skills and experience align with their needs.

Challenge Preparation:

• Strategic Scenario: Be prepared for a case study or scenario-based question asking you to outline a strategy for improving data enablement or UX design within a hypothetical RBC business unit. Focus on identifying key stakeholders, assessing current state, proposing solutions, and defining success metrics.
• Team Leadership Challenge: Expect questions about how you would handle common team challenges, such as managing underperformers, resolving conflicts, fostering innovation, or driving adoption of new tools and processes. Provide specific examples from your experience.
• Technical Deep Dive: Be ready to discuss your proficiency with key tools (Tableau, Power BI) and concepts (data governance, advanced analytics) at a strategic and operational level.

📝 Enhancement Note: The application process for a Senior Manager role at a major bank is rigorous. Emphasis is placed on demonstrating strategic leadership, tangible results through a portfolio, and the ability to articulate complex ideas clearly. Preparing a strong portfolio and practicing presentation skills is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Data Visualization Platforms: Expert proficiency required in industry-leading tools such as Tableau and Power BI. Candidates should be able to discuss advanced features, dashboard design best practices, and performance optimization within these platforms.
• Business Intelligence (BI) Tools: Familiarity with enterprise BI solutions that may integrate with visualization tools, potentially including those specific to financial services.
• Data Warehousing & Databases: Understanding of relational databases and data warehousing concepts. Experience working with data sources from platforms like Oracle, SQL Server, or cloud-based data warehouses.

Analytics & Reporting:

• Statistical Software (Optional but preferred): Familiarity with tools for advanced analytics, such as R or SAS, may be beneficial.
• Spreadsheet Software: Advanced proficiency in Microsoft Excel for data manipulation, analysis, and reporting is a baseline requirement.
• Reporting & Dashboarding Frameworks: Experience in designing and implementing reporting frameworks that ensure consistency, scalability, and governance.

CRM & Automation:

• CRM Systems (e.g., Salesforce): While not explicitly stated as a primary tool, understanding how data visualization and reporting integrate with CRM systems is valuable for GTM roles.
• ETL/ELT Tools: Awareness of tools used for data extraction, transformation, and loading (e.g., Informatica, Talend, Azure Data Factory) could be beneficial.
• Collaboration & Project Management Tools: Proficiency with tools like Jira, Confluence, Microsoft Teams, or similar platforms for team collaboration, project tracking, and workflow management.

Preferred Technical Skills:

• Programming Languages: Experience with Python (for data analysis, scripting, and potentially ML) and SQL (for data querying and manipulation) is highly desirable.
• Big Data Technologies: Familiarity with Hadoop/HDFS or other big data ecosystems is a plus.
• Cloud Platforms: Exposure to cloud data services (e.g., Azure, AWS) could be advantageous.

📝 Enhancement Note: The technology stack emphasizes industry-standard visualization tools (Tableau, Power BI) and foundational data skills (SQL, Excel). The "nice to have" section points to a desire for candidates with more advanced technical capabilities, such as Python, ML, and big data experience, indicating a role that is both strategic and technically grounded.

👥 Team Culture & Values

Operations Values:

• Client Focus: A deep commitment to understanding and serving the needs of both internal stakeholders (as clients of data enablement) and external customers, ensuring data-driven solutions enhance their experience and outcomes.
• Integrity & Trust: Upholding the highest standards of data accuracy, security, and ethical handling, critical in the financial services industry. Building trust through reliable insights and transparent processes.
• Collaboration & Teamwork: Fostering an environment where diverse perspectives are valued, and team members work together effectively across functions to achieve common goals.
• Innovation & Continuous Improvement: Encouraging a proactive mindset that seeks out new opportunities, embraces new technologies, and continuously refines processes to drive efficiency and deliver greater value.
• Accountability & Ownership: Promoting a culture where individuals and teams take responsibility for their work, deliver on commitments, and are empowered to make decisions.

Collaboration Style:

• Cross-Functional Partnership: The team will engage closely with business units, IT, risk management, marketing, and other data teams. This requires strong communication, negotiation, and relationship-building skills to ensure alignment and buy-in.
• Data-Informed Dialogue: Encouraging open discussions based on data and insights, where constructive feedback is shared to refine solutions and drive better outcomes.
• Knowledge Sharing: Promoting a culture of sharing best practices, learnings, and innovative approaches within the team and across the broader RBC data community.
• Agile & Iterative Engagement: Embracing iterative development and feedback loops to ensure solutions are responsive to evolving business needs and user feedback.

📝 Enhancement Note: The values emphasize integrity, client-centricity, and innovation, which are standard for reputable financial institutions. The collaboration style highlights the need for strong interpersonal skills to navigate a large, matrixed organization and drive data initiatives forward.

⚡ Challenges & Growth Opportunities

Challenges:

• Data Complexity & Scale: Managing and visualizing vast amounts of complex data from diverse sources across a large enterprise like RBC, ensuring accuracy and performance.
• Stakeholder Alignment: Navigating competing priorities and differing data literacy levels among various business units and senior leaders to ensure widespread adoption and effective use of data solutions.
• Technological Evolution: Keeping pace with rapid advancements in data visualization, analytics, and UX design tools and methodologies, and determining which innovations are best suited for RBC's environment.
• Change Management: Driving adoption of new data tools, processes, and a user-centric approach to data consumption within a large, established organization that may have established workflows.
• Balancing Innovation with Governance: Fostering a culture of experimentation and innovation while adhering to strict data governance, security, and regulatory requirements inherent in the banking sector.

Learning & Development Opportunities:

• Leadership Development Programs: Access to RBC's comprehensive leadership training and development programs designed to enhance strategic thinking, team management, and executive presence.
• Industry Certifications & Conferences: Support for obtaining advanced certifications in data visualization, UX design, or data management, and attending leading industry conferences (e.g., Tableau Conference, Microsoft Ignite).
• Mentorship & Networking: Opportunities to be mentored by senior leaders within RBC or to mentor junior team members, fostering knowledge transfer and leadership skill development.
• Cross-Functional Exposure: Potential to work on projects spanning different business lines or technology domains, broadening your understanding of RBC's operations and strategic priorities.
• Emerging Technology Exposure: Opportunities to explore and pilot new technologies in AI, machine learning, and advanced analytics, contributing to RBC's digital transformation journey.

📝 Enhancement Note: This section provides a realistic outlook on the role's challenges and highlights the significant growth and learning opportunities available within RBC, which are key attractors for senior operations professionals.

💡 Interview Preparation

Strategy Questions:

• "Describe your approach to developing a multi-year data visualization strategy for a large financial institution like RBC. What key components would you prioritize?" (Focus on aligning with business goals, defining a roadmap, stakeholder engagement, and technology selection.)
• "How would you balance the need for rapid data insight delivery with robust data governance and quality assurance? Provide an example." (Discuss agile methodologies, automated checks, clear ownership, and risk mitigation strategies.)
• "Imagine a business unit is resistant to adopting new dashboards you've developed. How would you approach this challenge to drive adoption and demonstrate value?" (Emphasize understanding user needs, iterative feedback, training, and showcasing clear, quantifiable benefits.)

Company & Culture Questions:

• "Based on your research, what do you see as RBC's biggest opportunities and challenges in leveraging data for customer experience and business growth?" (Show you've researched their strategy, market position, and digital initiatives.)
• "How would you foster a culture of data literacy and user-centric design within a team and across the organization?" (Discuss training, communication, collaboration, and leading by example.)
• "Describe a time you had to influence senior stakeholders who had different priorities or perspectives on data. How did you achieve alignment?" (Focus on active listening, data-driven arguments, and building consensus.)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, use a clear structure: Business Problem -> Your Strategic Approach -> Key Challenges -> Solution Implemented (Your Role/Team's Contribution) -> Measurable Outcomes/Impact.
• Quantify Everything: Wherever possible, use numbers to demonstrate impact: % increase in efficiency, $ in cost savings, % improvement in conversion rates, reduction in reporting time, etc.
• Highlight UX/Design Thinking: For this role, explicitly show how user needs were considered and how UX principles were applied. Use visuals like wireframes, user flows, or before/after comparisons.
• Be Ready for Deep Dives: Anticipate questions about your technical choices, the tools you used, your leadership style, and how you managed your team.
• Connect to RBC: Frame your examples in a way that shows how your experience is directly relevant to RBC's context, challenges, and goals.

📝 Enhancement Note: Interview preparation for a Senior Manager role at RBC requires demonstrating strategic leadership, a deep understanding of data and UX principles, and the ability to articulate impact. The portfolio presentation is a critical component, serving as tangible proof of capabilities.

📌 Application Steps

To apply for this Senior Manager, Data Enablement & UX Design position at RBC:

• Submit Your Application: Navigate to the RBC careers portal via the provided URL and complete the online application form. Ensure all fields are filled accurately and professionally.
• Tailor Your Resume: Optimize your resume to highlight your experience in data visualization, UI/UX design, team leadership, strategic planning, and stakeholder management. Use keywords from the job description and quantify your achievements with specific metrics.
• Prepare Your Portfolio: Curate a digital portfolio (e.g., PDF, dedicated website) that showcases 3-5 of your most impactful projects. Focus on demonstrating strategic thinking, leadership, process optimization, and measurable business outcomes, with a clear emphasis on UX design principles.
• Research RBC: Thoroughly research RBC's current business strategies, digital transformation efforts, and any public information regarding their data and analytics initiatives. Understand their market position and core values.
• Practice Your Narrative: Be prepared to articulate your experience and approach clearly and concisely. Practice presenting your portfolio and answering common interview questions related to leadership, strategy, and problem-solving.

⚠️ 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.

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