Principal Consultant: Data & Analytics

Position Description
Principal Consultant: Data & Analytics
Title: Principal Consultant: Data & Analytics
Reports To:

Delivery Practice Manager: Data & Analytics
Senior Domain Director: Data & Analytics

Location: Brisbane
Security Clearance: Not required
Overview
The Principal Data & Analytics Consultant works closely with various client, vendor and internal stakeholders using the latest industry standards to strategise, design, and deliver robust, secure and innovative analytical solutions. As a leader in the Data and Analytics team, they will design, manage, deliver and implement complex data and information management platforms in areas such as business intelligence, machine learning, data mining, complex data analytics, and artificial intelligence, taking solutions from strategy through implementation to managed service.
This role is part of our high-performing and diverse Data & Analytics team, partnering with clients to drive their data maturity and meet their data transformation goals by establishing future-oriented data strategy, building modern cloud-based data platforms, and enabling them with advanced analytics capabilities using cutting-edge technologies like AI.
Primary Duties

Provide leadership in delivery phase for continuity on scope expectations set in presales phase and delivery outcomes desired by the client.
Design analytics frameworks, visualisations, information architectures, and undertake analytics audits for major clients.
Lead and deliver strategy and advisory engagements in business intelligence, predictive and prescriptive analytics, data science, data management, and information management.
Assist with the growth of the Data & Analytics domain by supporting presales, commercial activities, pipeline management, and expansion.
Develop intellectual property to support the data and analytics domain.
Build and nurture robust relationships with internal team members and client stakeholders at all levels.
Function as a trusted advisor to client CxOs in their data journey.
Collaborate with other practices to develop and evolve a unique point of view related to the Data & Analytics domain aligned to the market and emerging trends.
Assist in administering the health and hygiene of the practice by supporting recruitment, resourcing, succession planning, and staff career management, training, and development plans.
Assess the maturity, capability, and architecture of client organisations and develop strategies and roadmaps to support their implementation.

Experience

Consultancy experience working with a systems integrator and/or service provider in the data and analytics domain.
Conducted pre-sales activities such as the creation of proposals, RFx responses, SOWs, and sales presentations, or led the creation and presentation of business cases, solutions design presentations, and conducted proof of concept presentations to executives in a corporate enterprise environment.
Led data and analytics discussions with senior stakeholders as a subject matter expert.
Deep experience in working with and implementing cloud-based data platform technologies including Microsoft Azure Data and Analytics tech stack, Databricks, DevOps, and Snowflake.
Demonstrated track record in building great working relationships with clients.
Experience in leading, fostering career development, graduate support, and team engagement.

Attributes

An understanding of end-to-end data lifecycle to deliver on data consulting engagements covering data governance and data management principles and practices.
Strong solutioning focus with an understanding of how data can be applied to resolve business problems.
Understands capabilities end to end across data governance and management, modern data platform, data visualisation and advanced analytics using AI.
A thorough understanding of the modern data and analytics technology ecosystem.
Passionate about data and analytics with the ability to maintain knowledge of trends and developments in technology domains.
A focus on quality and addressing what's most important to the client.
Effective verbal and written communication skills with the ability to explain complex concepts to broader audiences.
Able to articulate their position clearly while being an active listener.
Ability to identify cross-selling and upselling opportunities in existing accounts.
Calm under pressure.

Education and Training

A Diploma or Degree in Data Analytics or Data Science or similar fields will be advantageous.
Relevant certifications from technology vendors (i.e. Microsoft Azure, Databricks, Snowflake, GCP) will be highly regarded.
Relevant certifications like CDMP from industry bodies like DAMA.
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