
Digital Intelligence Senior Specialist
- Australia
- Permanent
- Full-time
- Define and evolve the architecture and governance of the known and unknown digital visitor profile across
- platforms.
- Ensure seamless integration of identity, behavioural, and contextual data to enable hyper-personalisation.
- Leverage DMP’s and CDP’s (e.g., Adobe, Braze, Salesforce) and AI-driven machine learning tools to refine audience strategies and improve campaign performance.
- Collaborate with privacy, security, and compliance teams to uphold data ethics and regulatory standards.
- Identify and implement opportunities to leverage AI/ML. This could range from developing predictive models for customer behaviour to deploying machine learning for campaign automation and personalisation at scale.
- Partner with data scientists, engineers, analysts and product teams to embed intelligent capabilities into digital experiences.
- Champion model performance, fairness, explainability, and continuous improvement
- Lead the end-to-end CRO and personalisation lifecycle, from hypothesis generation and statistical analysis to experiment design and implementation to drive significant uplifts in user experience and conversion.
- Drive a culture of test-and-learn to validate hypotheses, optimise user journeys, and accelerate innovation.
- Translate insights into actionable strategies that enhance customer engagement and business outcomes.
- Strategies to enhance the visibility and effectiveness of AI-driven digital initiatives (including impacts to Search).
- Align experimentation, audience management, and search strategies with overarching digital channel objectives, ensuring cohesive and integrated digital marketing efforts.
- Effectively communicate complex programs to a diverse audience to secure endorsement and commitment.
- Maintain knowledge of digital trends and customer preferences through active thought leadership and share expertise with team members to inform digital strategies and channels that deliver optimal experiences.
- Collaborate with cross-functional teams to ensure Search insights inform personalisation, experimentation, and content strategies.
- Curious Mindset: Demonstrates a relentless curiosity and eagerness to explore new technologies and methodologies, always seeking to understand and leverage the latest advancements.
- Visionary Thinking: Possesses the ability to envision and articulate a forward-thinking strategy that aligns with the evolving digital landscape.
- Technical Proficiency: Demonstrates knowledge in emerging technologies and facilitates the
- implementation of discovery.
- Collaborative Leadership: Fosters a collaborative environment, working closely with cross-functional teams and leadership to drive strategic initiatives and achieve shared goals.
- Customer-Centric Approach: Prioritises the customer experience, using data-driven insights to deliver personalised and impactful digital interactions.
- Ways of Working. Ensure that our approach to digital innovation and customer engagement remains agile, forward-thinking, and aligned with ways of working.
- Resilient, flexible and agile. In a forever changing environment, be able to adjust to change and assess impacts.
- Proven experience in digital transformation, data science, or AI leadership roles—ideally within telecommunications or technology sectors.
- Strategic mindset with a hands-on approach to innovation, delivery, and problem-solving.
- Deep expertise in digital profile and identity management to enable personalisation at scale.
- Hands-on experience with Customer Data Platforms (CDPs), Personalisation Engines, and Digital Identity Frameworks.
- Strong background in AI/ML technologies, including model development, governance, and MLOps practices.
- Ability to apply statistical rigour to model evaluation, experimentation, and performance measurement.
- Track record of leading complex experimentation initiatives to validate hypotheses and accelerate learning.
- Proficient with experimentation platforms such as Adobe Target, Braze, and Contentsquare.
- Skilled in A/B and multivariate testing, uplift modelling, and causal inference techniques.
- Experience with Adobe Experience Platform, Braze, and Salesforce Marketing Cloud to drive personalised engagements at scale.
- Proven ability to optimise digital placements for customer engagement, sales conversion, and selfservice.
- Strong command of digital analytics tools, customer segmentation, and behavioural modelling.
- Ability to translate complex data insights into scalable, customer-facing digital solutions.
- Familiarity with modern data stacks and cloud platforms such as AWS, GCP, and Azure preferred.
- Understanding of data privacy, security, and ethical AI considerations.
- Excellent stakeholder management and communication skills, with the ability to influence at all levels.
- Demonstrated ability to mentor, upskill, and empower teams while maintaining delivery momentum.
- Passion for fostering a culture of innovation, data literacy, and continuous improvement.