Job Description

Job Description

The Senior Manager of Distribution Intelligence is a senior leadership role responsible for shaping and executing a company-wide business intelligence strategy that empowers data-driven decision-making. Key responsibilities include defining the BI vision and roadmap, championing data storytelling and visualization, delivering executive-ready insights, and ensuring data governance and quality. The role requires close collaboration with C-suite executives and senior leaders to influence decisions and foster a data-centric culture. This position leads a high-performing team to transform complex data into compelling narratives and actionable insights that enhance strategic initiatives and optimize distribution productivity.

We are seeking a strategic and visionary Senior Manager, Distribution Intelligence to drive data-informed decision-making across the organization. This senior leadership role will play a pivotal part in transforming complex data into clear, compelling narratives and actionable insights that support strategic initiatives, optimize productivity of distribution stakeholders, and deliver business value. The successful candidate will possess deep expertise in data visualization, data storytelling, and analytics leadership, and will work closely with C-suite executives and business leaders to enable data-driven decision-making at scale.

Key Responsibilities:

Strategic Leadership:

• Develop and lead the execution of the enterprise-wide business intelligence strategy aligned with the company’s strategic goals.
• Define the BI vision and roadmap, prioritizing initiatives that drive business value and performance optimization.
• Build and manage a high-performing Distribution Intelligence team, fostering a culture of curiosity, insight, and impact.

Data Storytelling & Visualization:

• Champion the use of data storytelling to influence strategic decisions and drive business outcomes.
• Design and deliver intuitive dashboards, reports, and visualizations that communicate key metrics, trends, and insights to senior leadership.
• Ensure complex data sets are presented in a way that is accessible, compelling, and tailored to the audience.

Actionable Insights & Decision Support:

• Translate data into clear, actionable recommendations to support operational, financial, and strategic decisions.
• Identify and communicate key performance indicators (KPIs), business trends, risks, and opportunities across the organization.
• Lead advanced data analysis projects, including forecasting, segmentation, and scenario modeling.

Stakeholder Engagement & Influence:

• Serve as the primary BI partner for executive and senior business leaders, understanding their needs and delivering insights that drive value.
• Effectively communicate findings and recommendations to both technical and non-technical stakeholders.
• Influence decision-making through compelling narratives backed by data, promoting a data-driven culture across the business.

Data Governance & Quality:

• Ensure data accuracy, integrity, and consistency across BI tools and reporting environments.
• Collaborate and prioritize roadmaps with data engineering and governance teams to maintain high data quality standards and compliance with regulatory requirements.

Required skills:

• 10+ years of experience in business intelligence, analytics, or data strategy roles, with at least 5 years in a leadership capacity.
• Experience in the financial services industry or a similarly data-intensive environment.
• Expert-level proficiency with BI tools (e.g., Power BI, Tableau, Qlik) and data storytelling techniques.
• Strong understanding of data warehousing, data modeling, and SQL.
• Proven track record of driving business performance through data-driven decision-making.
• Exceptional communication, presentation, and stakeholder management skills, especially at the executive level.
• Bachelor’s degree in Business, Data Science, Computer Science, Finance, or related field.

Preferred skills:

• Advanced degree (MBA, MS in Data Analytics, etc.).
• Experience with cloud-based data platforms (e.g., Snowflake, AWS, Azure).
• Familiarity with statistical analysis, Python/R, or machine learning concepts.

Special Factors

Sponsorship

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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