Lead Marketing Operations Manager

About the role

Marketing operations across Australia evolve significantly through this role, which serves as a critical leadership position guiding the strategy and execution of marketing technology initiatives. The successful hire will own the assessment and optimization of marketing automation environments, ensuring that technology choices directly support revenue team objectives and market expansion. You will evaluate current systems, identify gaps, and lead the migration and integration of marketing platforms to maintain continuity and improve efficiency across the entire ecosystem. This position requires a strategic mindset to translate business needs into technical requirements for data, analysts, and engineering stakeholders. You will provide clear guidance on technology decisions, aligning marketing automation with the broader revenue technology stack and long-term growth plans. The role demands close collaboration with cross-functional partners to ensure that data, models, and pipelines are built to support high-impact campaigns and measurable outcomes. Ultimately, you will own the end-to-end marketing operations lifecycle, from assessment and design through implementation and ongoing optimization in the Australian market.

Key facts

What you'll do

Evaluate the current state of marketing automation platforms in Australia and define the roadmap for optimization and integration.

Lead the migration and integration of marketing automation systems, using deep Marketo experience to ensure continuity and minimal disruption.

Guide technology decisions for the broader revenue technology ecosystem, analyzing how marketing automation integrates with sales and customer data platforms.

Partner with data analysts to define metrics, build dashboards, and ensure marketing data is accurate, accessible, and actionable.

Collaborate with data scientists to develop models that predict customer behavior and optimize marketing strategies across channels.

Work with data engineers to design and monitor data pipelines, ensuring reliable movement and storage of marketing data across systems.

Translate complex technical concepts into clear guidance for revenue teams, helping them understand the impact of technology on their performance.

Own the assessment of new tools and vendors, ensuring that any solution aligns with the company's global standards and local requirements.

Provide thought leadership on marketing operations best practices, driving continuous improvement across campaigns, measurement, and workflows.

Serve as the central point of contact for stakeholders seeking insights into marketing performance, technology capabilities, and operational efficiency.

Support the development of a strong data culture within the marketing organization, promoting evidence-based decision making at all levels.

Ensure that all marketing operations initiatives are delivered on time, within scope, and aligned with the overall business strategy for Australia.

Document processes, configurations, and decisions to create a scalable and maintainable marketing operations foundation.

Act as an advocate for the data and analytics function, highlighting its role in driving revenue growth and customer engagement.

Requirements

The posting states a bachelor's degree requirement, and you must You must possess a strong understanding of marketing automation platforms and how they integrate with broader revenue technology stacks.

You will need deep Marketo experience to successfully manage the migration and integration of marketing automation platforms.

You should have the ability to translate complex data concepts into clear guidance for revenue teams and stakeholders.

You must demonstrate experience in leading data, analytics, and engineering initiatives in a marketing context.

You are expected to have strong analytical skills, using statistics and data to drive decision making and measure campaign performance.

You should be comfortable designing metrics, interpreting experiments, and building or interpreting small models to support marketing strategy.

You must have excellent communication skills, enabling you to work effectively with technical and business teams across multiple locations.

Nice to have

Only items explicitly stated as preferred in SOURCE are included here, and no additional preferences are added.

Practical notes

Typical interview steps for data roles commonly include a SQL or coding exercise, a statistics question, and a case study.

Candidates may be asked to design a metric, interpret an experiment, or build a small model as part of the interview process.

Some companies provide a take-home analysis, and you should be prepared to discuss past projects and the business impact of your work.

Interviewers often evaluate how you communicate uncertainty and business impact, placing emphasis on clarity and decision-making skills rather than only technical accuracy.

Bringing a clean write-up of a past analysis to the interview is well received and can demonstrate your ability to structure and present insights.

Data roles commonly include analysts, data scientists, and data engineers who work closely with business teams in modern companies.

Continuous learning is a standard part of data careers, given the fast-evolving tools, methods, and expectations in the field.

Useful questions to ask during the interview include what a typical week looks like, how work is assigned, what tools the team uses, and how feedback is handled.

Asking how the role has changed recently and what the team wishes it had known when joining provides insight into team dynamics and expectations.

Questions about the manager's priorities are especially valued and can help you understand alignment between your goals and team needs.

Career growth in data roles often progresses toward senior analyst, staff data scientist, or data engineering lead positions.

Many professionals choose to specialize in machine learning, analytics, or infrastructure as they advance in their careers.

Cross-functional work with product and engineering teams becomes increasingly important at senior levels, requiring strong collaboration skills.

The field changes rapidly, so ongoing education and adaptability are essential for long-term success.

Professionals who can translate numbers into decisions and clearly communicate their impact tend to advance more quickly and take on greater responsibility.

About the company

Our platform serves over 1.5 million workers and 375,000 workplaces across 100+ countries.