Data Product Management Senior Manager

Coleambally; Sydney, Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

Commonwealth Bank seeks a Senior Data Product Manager to steer the strategy and evolution of data products across Retail Banking Services. You will align data initiatives with business priorities, collaborating with data engineers, governance, and analytics teams to deliver high-quality, scalable data products that enable trusted data access and decision-making.

The role sits at the intersection of data, technology and business strategy, requiring deep product thinking and technical depth to

Qualifications

• Experience leading enterprise-level data initiatives and platforms.
• Strong governance, metadata, and data quality mindset.
• Ability to translate business needs into scalable data products.

Responsibilities

• Lead the strategy, development and evolution of data products for Retail Banking Services.
• Translate complex data needs into scalable, reusable solutions.
• Provide senior leadership and mentorship across Data, AI and Analytics.

Skills

Data engineering

Data governance

Stakeholder management

Leadership

Data cloud migration

AWS

Snowflake

SQL

Python

GitHub

CI/CD

Tools

AWS

Snowflake

SQL

Python

GitHub

CI/CD

Job description

• Lead the strategy and evolution of Retail data products
• Turn complex data needs into scalable, reusable solutions
• Shape how data enables better customer and business outcomes

Do Work that Matters

Data is central to how we understand our customers, make better decisions and create more personalised experiences across Retail Banking Services.

As Senior Data Product Manager, you’ll lead the strategy, development and evolution of data products that make high-quality, trusted data easier to discover, access and use across the business.

This is a senior leadership role sitting at the intersection of data, technology and business strategy. You’ll work across Retail Banking Services and the broader Data community to identify where data can create the greatest value, translate complex business needs into clear data product strategies, and bring together engineering, data management and business teams to deliver them at scale. You’ll combine strong data product thinking with enough technical depth to influence how products are designed, governed and engineered, ensuring they are reusable, well-managed and built around genuine consumer needs.

See Yourself in Our Team

Retail Advanced Analytics and Data works across Retail Banking Services to strengthen how we use Data, Advanced Analytics and AI to improve customer and business outcomes.

We bring together people with diverse experience across data, analytics and technology, combining deep technical capability with business understanding to solve complex problems and enable better data-driven decision-making.

We’re curious, collaborative and focused on turning data into practical capability that can be used and scaled across the organisation.

You will:

• Lead the vision, strategy and roadmap for data products across Retail Banking Services, aligning investment and delivery to business priorities.
• Partner with business, technology, data engineering and Data Delivery leaders to identify opportunities and translate business needs into scalable data products.
• Lead the development and evolution of high-quality, reusable and well-governed data products that can be consumed confidently across teams and use cases.
• Establish clear understanding of data-product consumers, their requirements and the business outcomes products need to enable.
• Bring strong business context into product design, helping engineering and data teams make the right decisions around data structure, quality, accessibility and reuse.
• Ensure data products meet applicable data management, metadata, risk, control and governance standards.
• Identify existing data products that require improvement and lead the work to increase their quality, usability, performance or fitness for purpose.
• Strengthen relationships between data producers and consumers, creating clearer ownership and accountability across the data-product lifecycle.
• Help standardise and scale effective data-product practices across Retail Banking Services.
• Provide senior thought leadership across Data, AI and Analytics, helping strengthen data-product capability and mentoring data professionals across the organisation.
• Partner with Domain leaders to embed enterprise data-management standards and practices.

What You’ll Bring

• Proven experience leading enterprise-level data initiatives, with a core background in Data Engineering, Architecture.
• Expertise in data governance, metadata management, data product focused mindset and business-aligned data strategy.
• Strong stakeholder engagement and cross-functional leadership experience.
• A passion for leading people, upskilling teams and championing collaboration.
• Thought leadership in Data, AI, or Analytics with a drive to democratise data use.
• Experience in Data Cloud migration and exposure to AWS eco system would be desirable.
• Strong understanding of data governance, metadata, data quality, stewardship and data management across the data-product lifecycle.
• Experience bringing together business, engineering, architecture and data-management teams to deliver complex outcomes across organisational boundaries.
• Strong senior stakeholder management and influencing skills, including the ability to navigate competing priorities and create alignment around a product vision.
• Experience leading, coaching or mentoring data professionals and lifting data-product capability across teams.
• A strong understanding of how AI and Advanced Analytics consume and depend upon trusted, well-designed data products.
• Experience with cloud-based data platforms and large-scale data modernisation or migration programmes. Exposure to AWS and Snowflake would be highly regarded.

Technical Capability

You don’t need to be the person writing production code every day, but you’ll need sufficient technical depth to challenge, influence and make informed decisions with engineering and architecture teams. We’d value experience across:

• Data engineering and architecture: modern data engineering patterns, data modelling, architecture and integration.
• Cloud data platforms: experience delivering data capabilities on cloud infrastructure, ideally including AWS and Snowflake.
• Data management: data quality, metadata, lineage, stewardship, governance and controls.
• Engineering practices: familiarity with SQL, Python, GitHub and CI/CD environments.
• Data products: experience establishing clear ownership, consumers, service expectations and lifecycle management for enterprise data products.

Working With Us

At CommBank, we're committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments during the recruitment process, please let us know.

We welcome applications from people of all backgrounds and are particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples.

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

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