Head of Data
AbbVie
- Location
- Sydney, NSW, Australia
- Employment
- Full Time
- Work model
- On-Site
- Level
- Staff
- H-1B history
- 94 approvals (FY2023)
- Posted
- 2h ago
Skills
About this role
Company Description
About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube.
Job Description
At AbbVie, data is becoming a strategic differentiator in how we understand customers, make decisions, accelerate innovation, and ultimately improve patient outcomes. We are seeking an experienced Head of Data with AI expertise to lead our ANZ data strategy and help shape the next generation of insight-driven decision-making across the organisation. Reporting into the Customer Excellence Director and serving as a member of the Customer Excellence Leadership Team, you will influence enterprise priorities, partner with senior business leaders, and lead the evolution of our data and analytics in the local affiliate. This is a unique opportunity to drive meaningful transformation at the intersection of healthcare, technology, and commercial strategy. You will lead a multidisciplinary team spanning analytics, data science, governance and market intelligence while partnering closely with Commercial, Customer Excellence, Business Technology Solutions, and Global Data & AI teams to unlock business value through data-driven innovation. If you're passionate about using data and AI to solve complex business challenges, influence strategic decisions, and build high-performing teams, we'd love to hear from you.
KEY DUTIES AND RESPONSIBILITIES
Foster a culture of innovation, collaboration, and continuous learning Lead change management efforts to embed data-driven decision-making across the organisation through the tools your team supports. Define and execute the ANZ data strategy aligned with local and global business objectives. In particular the partnership with our Global and Business Technology Solutions (BTS) teams to support and sharp the requirements and capabilities to deliver future-fit data products for the business. Oversee the delivery of market, competitor, and customer insights to support commercial strategy and management of the data budget Ensure Data function act as partners with commercial teams to translate insights into actionable strategies Develop and oversee a universal enterprise reporting framework, including dashboards and analytics platforms in line with Global Visualisation platforms. Be accountable for timely, accurate, and actionable reporting across all business functions Drive automation and self-service analytics capabilities for business units Maintain ongoing data governance frameworks, policies, and standards so teams understand where data sources originate and are utilised to form insights. Ensure data quality, integrity, security, and compliance with relevant regulations through strong governance practices. Oversee master data management and data lifecycle processes to ensure prioritized data quality is managed and confidence in the data sources and visualisations produced by the team. Understand the data requirements in support of the deployment of machine learning models within the affiliate. Where appropriate maintain the delivery of global and local solutions support predictive analytics, personalised customer experiences, and automation initiatives. Identify, prioritise, and deliver AI/ML and advanced analytics solutions that improve customer engagement, operational efficiency, and commercial insights through AI use cases across the organisation both locally and in collaboration with the global data teams. Stay abreast of emerging technologies and evaluate emerging AI technologies or external