Company Description

DataAIT Technologies enables businesses to leverage the transformative power of Data Analytics, AI, Automation, and Cloud to deliver measurable outcomes. By offering comprehensive services spanning advisory, accelerators, solution design, and operational support, we help organizations achieve efficiency and growth. Our proprietary frameworks accelerate deployment while ensuring ethical AI, data governance, and cloud security. Trusted by diverse industries, DataAIT focuses on practical, results-driven solutions that align with strategic business goals. We specialize in turning complex challenges into scalable, reliable systems to achieve long-term competitive advantages.

Role: Data & Analytics Lead

Location: Melbourne

Engagement Type: 6-month contract (initially), with potential extension

Role Description

DataAIT Technologies is seeking a Data & Analytics Lead to support a high-impact data program. The role involves designing and implementing a modern Data & Analytics Ecosystem, ensuring data quality, governance, and accessibility, and enabling teams to make data-driven decisions. This engagement provides exposure to complex data initiatives and advanced analytics practices in a collaborative environment.

Key Responsibilities:

Data Strategy & Architecture

• Define and implement target-state data platforms, models, and engineering practices to support a data-driven organization.
• Establish scalable, secure, and interoperable data architectures and governance frameworks, including data ownership, stewardship, and change management.
• Promote adoption of best practices in data management, analytics, and reporting across teams.

Data Migration & Quality Management

• Lead end-to-end data migration, including requirements analysis, source identification, data cleansing, extraction, and transformation.
• Ensure high standards of data quality, integrity, and security throughout migration and integration processes.

Stakeholder Engagement & Enablement

• Collaborate with business and technical stakeholders to embed a strong data culture and enable self-service analytics.
• Partner with cross-functional teams to harmonize data practices, drive adoption, and maximize business value.

Innovation & Continuous Improvement

• Evaluate and implement emerging technologies, including AI, cloud, and automation, to enhance data capabilities and deliver measurable outcomes.
• Continuously refine processes, tools, and methodologies to optimize the analytics ecosystem and drive business impact.

Qualification:

• Graduate or undergraduate degree in Data, Technology, or a related field.

Experience & Technical Skills:

• Proven experience leading large-scale data programs or initiatives.
• Strong expertise in cloud platforms (AWS preferred), modern data architectures, and data governance.
• Demonstrated ability to influence and lead cross-functional teams in complex, ambiguous environments.
• Experience managing stakeholders across multiple functions, geographies, and seniority levels.
• Track record of delivering measurable outcomes through data-driven initiatives.

Core Competencies:

• Strategic thinking and translating insights into actionable plans.
• Managing complexity and ambiguity effectively.
• Strong interpersonal and stakeholder management skills.
• Global mindset and ability to work with diverse teams.

Why work with DataAIT

• Lead and shape high-impact data programs with measurable business outcomes.
• Work with cutting-edge technologies including AI, cloud, and modern analytics platforms.
• Collaborate in a fast-paced, learning-focused environment that values innovation, growth, and professional impact.