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Director, Data Intelligence
Location
Worldwide
Posted
36 days ago
Salary
0
Seniority
Lead
No structured requirement data.
Job Description
Director, Data Intelligence
Go1 Australia
Role Description Reporting to the Chief Technology Officer, the Director of Data Intelligence is responsible for leading Go1's Data Intelligence function: building the trusted business data spine, enabling high-quality self-service, and turning data products into customer, product, and commercial operating advantage. Leading a team of Data Analysts, Data Engineers, and Data Scientists, you will ensure data is trusted, accessible, well-governed, and aligned to Go1's strategic objectives. You will partner closely with Product, Engineering, Legal, Risk, Finance, Customer, GTM, and business leaders to create the frameworks, standards, and operating models that enable data-driven decision making across the organisation. This is a highly strategic leadership role focused on building organisational data maturity, improving data quality and accessibility, and ensuring data investments deliver meaningful customer and commercial outcomes. It is also a practical delivery role: you will shape the semantic layer, metadata, data quality, observability, AI-ready data access, and reusable data products that allow Go1 to scale decision-making without routing every important question through one central expert. What You'll Do - Lead, mentor, and develop a multidisciplinary team of Data Analysts, Data Engineers, and Data Scientists. - Own Go1's trusted business data spine across core company metrics, including ARR, customer, product, content, retention, churn, PLG, and commercial reporting. - Partner with Product Managers, business stakeholders, and source system owners to define and deliver data roadmaps aligned to product, operational, and business goals. - Work closely with the CTO to define and execute Go1's Data Enablement strategy, operating model, and investment priorities. - Build a practical governance and trust model that makes clear which data must be tightly governed, which data can be domain-owned, and how data quality and confidence should be communicated. - Establish and maintain frameworks, standards, policies, and processes that support trusted, high-quality, and compliant use of data. - Partner with Data Architecture and Engineering teams to improve data accessibility, usability, discoverability, and adoption across the organisation. - Lead the development of semantic layers, metric definitions, metadata, data quality checks, observability, and governance foundations that support both human and AI-assisted data access. - Make definitions, ownership, and trust levels discoverable and usable in the flow of work, not hidden in documentation. - Turn high-value data products into business workflows, including QBRs, churn intervention, customer health, product adoption, PLG measurement, and commercial planning. - Set clear boundaries between what the central Data Intelligence team owns and what Product, Engineering, Marketing, Finance, Customer, and GTM teams should own themselves. - Champion continuous improvement in data quality, information management, and organisational data maturity. - Build team capability through workforce planning, coaching, mentoring, and professional development. - Develop leadership depth inside the team so Go1 is not dependent on a single senior data translator for every trade-off. - Focus teams on solving high-impact customer and business problems that drive strategic and commercial outcomes. Qualifications - 8+ years' experience in data governance, data management, analytics, data engineering, data science, or a related discipline. - Proven experience leading multidisciplinary data teams and delivering enterprise-wide data governance, quality, and enablement initiatives. - Strong people leadership experience, including a minimum of 3 years managing and developing direct reports. - Broad technical understanding across data science, data engineering, analytics, and data governance domains, with the ability to effectively partner across each discipline. - Experience building trusted company metrics in a SaaS, subscription, marketplace, or digital product environment. - Strong judgement on when data must be exact, when directional data is acceptable, and how to communicate that difference clearly. - Strong understanding of data governance, ownership, stewardship, quality management, and information lifecycle practices, with the judgement to apply them pragmatically. - Experience developing and implementing data policies, frameworks, standards, and operating models. - Practical experience with semantic layers, modern data platforms, metadata management, data quality, observability, and self-service analytics. - Experience enabling AI-assisted or self-service data consumption is highly desirable. - Ability to partner effectively with senior stakeholders, influence decision-making, and drive organisational change. - Ability to challenge senior stakeholders when a metric, dashboard, or analysis is misleading, while still helping teams move faster. - Strong strategic thinking, problem-solving, and communication skills, with the ability to balance long-term vision and pragmatic execution. - A track record of combining strategic leadership with a practical, hands-on approach to solving complex data challenges. - A track record of shifting data teams from request fulfilment toward reusable data products, trusted self-service, and measurable business adoption. - A collaborative, customer-focused leadership style with a passion for building high-performing teams and enabling better business outcomes through data. Benefits - Annual bonus or commission plan. - Employee Stock Option Plan: Opportunity to share directly in our success through stock options. - Public Holiday Swap: Swap a public holiday for another preferred day. - Flexible Working: We are a fully remote organisation with team events and travel throughout the year. - Wellbeing & Learning Days: An additional five days of paid leave per year. - Learning Budget: $500 USD per financial year, plus access to additional Career Growth Budget. - WFH/Transport Budget: Monthly allowance for internet/phone expenses or public transport. - Home Office Setup Budget: One-off allowance for desk, chair and/or monitor. - Parental Leave: Minimum of 18 weeks paid parental leave for primary carers + 6 weeks paid parental leave for secondary carers. - Wellbeing Support: Access to counselling and wellbeing app via Nilo Health.
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