Back to SearchSenior Manager, Data Analytics Consulting
Hybrid in Australia: Sydney
Business Analytics Consulting
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The Senior Manager, Data Analytics Consulting is responsible for planning, organising, directing, controlling and coordinating complex ICT development and transformation projects involving data, analytics, artificial intelligence and cloud technologies. The role manages projects from initiation and discovery through solution design, development, implementation, deployment and closure, ensuring agreed milestones, deliverables, budgets, timeframes and quality requirements are achieved.
We Value
- Value the individuals – We encourage and motivate people to grow. We perceive our people as a source of our success.
- Strive for excellence – We strive for the highest standards of excellence and continuously learn. We take pride in our engineering and accomplishments.
- Act as a team – We treat one another with respect and encourage the best ideas to come from anywhere within the organization. We value our diversity.
- Act with integrity – We operate legally, honestly and ethically. We take responsibility for our actions.
Responsibilities
- Partner with senior business and technology leaders to understand strategic objectives, identify business opportunities and translate requirements into actionable data, analytics and ICT solution roadmaps
- Plan, organise, direct and coordinate complex data, analytics and AI-enabled ICT projects across the full project lifecycle, including initiation, discovery, planning, solution design, development, implementation, monitoring and closure
- Identify, evaluate and prioritise data, analytics and AI use cases based on business value, technical feasibility, data readiness and organisational capability
- Develop enterprise data and analytics strategies, target-state architectures, implementation roadmaps and business cases aligned with clients' long-term objectives
- Advise clients on modern data platforms, business intelligence, advanced analytics, artificial intelligence, data governance and cloud transformation
- Direct and coordinate the end-to-end development and implementation of modern data and analytics solutions, ensuring alignment between business requirements, solution architecture, project scope, schedules, budgets, milestones and agreed deliverables
- Collaborate with Solution Architects, Technical Leads and delivery teams to define scalable, secure and maintainable data solutions
- Provide leadership across multidisciplinary teams, including data engineers, business analysts, BI developers, data scientists, solution architects, quality engineers, DevOps engineers and other specialists
- Establish clear delivery priorities, outcomes, roadmaps and success measures, and ensure that delivery activities remain aligned with business objectives
- Assess the availability, quality and suitability of data required for analytical solutions and recommend improvements to data architecture, data management and governance processes
- Help clients identify what data should be captured, integrated, processed and made available to support business decisions and future analytical capabilities
- Define measurable business outcomes and success metrics and support clients in monitoring the value delivered by data and analytics initiatives
- Manage complex consulting engagements, including scope, delivery governance, stakeholder alignment, risks, dependencies and executive communications
- Build and maintain trusted relationships with senior client stakeholders, technology partners and third-party service providers
- Communicate complex technical concepts, solution options, trade-offs and recommendations clearly to both business and technical audiences
- Facilitate executive workshops, discovery sessions and stakeholder discussions to establish alignment and support informed decision-making
- Drive pre-sales activities, including opportunity qualification, solution shaping, proposals, responses to RFx, estimates, proof-of-concept initiatives and executive presentations
- Support account growth by identifying opportunities where data, analytics and AI capabilities can create measurable business value
- Contribute to the development of reusable consulting approaches, delivery assets, reference architectures and industry-specific offerings
- Provide thought leadership on developments in cloud data platforms, advanced analytics, generative AI, data governance and emerging technology trends
- Lead, mentor and develop consulting and delivery team members, supporting recruitment, capability development, performance management and career progression
Requirements
- At least 10 years of professional experience in data and analytics, technology consulting, business intelligence, data engineering or related disciplines
- Demonstrated experience leading data and analytics consulting engagements or large-scale transformation programmes
- Strong experience working with senior business and technology stakeholders to define strategies, roadmaps and technology-enabled business solutions
- Proven ability to lead engagements from initial discovery and advisory through solution design, implementation and adoption
- Strong technical grounding and previous hands-on experience in one or more of the following areas: data strategy and architecture, data engineering and integration, data warehousing and data platforms, business intelligence and data visualisation, data management and governance, advanced analytics, machine learning or artificial intelligence
- Experience delivering enterprise data platform modernisation or cloud migration initiatives
- Strong knowledge of at least one major cloud platform, including Microsoft Azure, AWS or Google Cloud Platform
- Experience with modern data and analytics technologies such as Databricks, Snowflake, Microsoft Fabric, Power BI or comparable platforms
- Practical understanding of advanced analytics, machine learning and generative AI use cases, including their business value, data requirements, limitations and implementation considerations
- Strong understanding of data architecture, data modelling, integration patterns, data quality, governance and the data lifecycle
- Experience managing consulting engagements, delivery priorities, risks, dependencies and stakeholder expectations
- Demonstrated pre-sales experience, including solution development, proposal preparation, RFx responses, estimation and executive presentations