As part of a new practice and vertical in our ANZ region, this role requires a senior technical leader to define and implement end-to-end Advanced Analytics, Data Modernisation and Machine Learning.

This role is responsible for building, mentoring, and scaling the team, as well as building and strengthening relationships with our key clients. This role includes both delivery and team-leadership accountabilities. The right candidate will be one excited by opportunities to empower customers in highly regulated industries to harness their data potential at scale, leveraging cloud infrastructure and data services.

What you'll be responsible for

Consulting Excellence

• Develop and lead a team of Sourced Data Analytics Consultants,
• Develop go-to-market strategies and messaging, driving pre-sales motions in collaboration with account executives, and demonstrating thought leadership both internally and in customer meetings and events.
• Develop strategy and execution plans for customer engagements with both global and regional impact.
• Build and nurture deep working relationships with internal and external stakeholders, as well as their counterparts in our clients and partners.
• Experience in the scoping and execution of data management / information management strategies integrating technology, people & process and methodology roadmaps
• Articulating a position on a topic to influence significant global decisions both within Sourced Group and with clients.
• Be a trusted adviser for our enterprise clients and excel at all aspects of pre-sales/solution architecture, business development, people management, relationship development, delivery of cloud solutions and program management in their accounts. 
• Bring a deep technical expertise and can consult effectively at all levels of an enterprise organisation (CDO, CMO, Head of Compliance etc).
• Ability to influence at scale 1:many.

Technical Solutioning and Data Engineering

• Apply cutting edge technologies and tools in big data and machine learning to build, manage and automate pipelines for data and analytics platforms in cloud environments.
• Design and oversee the implementation of, and assure the quality of, production grade end-to-end analytics solutions to solve business challenges together with Data Engineering, Data Scientists and business teams.
• Creation of repeatable reference architectures for various analytics use cases.
• Study and evaluate the state-of-the-art and emerging technologies such as cloud based optimized computing clusters, serverless data processing, and frameworks of data engineering, and establish, apply and maintain best practices and principles of data processing and analytics.
• Monitor and evolve data analytics platforms to support business driven use cases and new consumption patterns.

Thought Leadership

• Be the Data and Intelligence brand evangelist and thought leader; speak at regional conferences, write White Papers and present case studies at technology events.
• Educate the broader Sourced and Amdocs teams in monthly data analytics community calls.
• Awareness and curiosity in the rapid evolution of GenAI and how this might be applied in various industries and use cases

What you will bring to the role

• Required:5 to 10 years of experience in industry or equivalent experience consulting into industries: ideally banking, ecommerce, telecoms, retail, and consulting; with a demonstrated track record of leveraging advanced analytics to achieve business impact.
• Data Analytics and modernisation expertise using big data technology on-premises and/or with leading cloud providers.
• Strong facilitation skills with demonstrated experience leading scoping and design sessions.
• A track record of facilitating the exploration of new ideas and leading innovation among teams.
• Experience with traditional data analytics technologies (RDBMS, data warehouse, data lake), and / or cloud based analytics services (Amazon Kinesis, AWS EMR, AWS Glue, Azure Data Factory etc) and structured data (SQL).
• At least 2-3 years of hands-on experience in data science and machine learning.

• Familiar with industry paradigms and standards for ML model development, validation and testing and have developed and implemented large-scale machine learning solutions from end to end.
• Keeping abreast of industry developments in cloud, databases, analytics, data science, AI/ML and GenAI, with the ability to form an opinion in order to provide value and meaningful guidance to customers.
• Strong in problem-solving, being resourceful with end to end critical thinking to find out solutions even in unfamiliar scenarios.
• Good communication and project management skills.
• Excellent understanding of software & data engineering principles and design patterns.

• Desirable: Solid understanding of data modelling at conceptual logical and physical levels; understanding the performance, storage and cost implications of data modelling decisions in various environments (RDBMS, data lake, ideally also graph, vector and noSQL databases)
• Familiarity with tools such as Anaconda, Jupyter, Eclipse, Jira, Git, SVN, Jenkins, etc
• Programming skills in one or more of: Python (Pandas, SciPy, NumPy, PySpark, etc), Scala, Java, SQL, Shell Script
• Demonstrated interest in learning about Data Governance, Data Catalogues, data management in compliance with industry standards (eg CPG235) through own initiatives

Benefits of joining Sourced

• Exceptional career opportunities and exposure to a diverse range of enterprise customers (Financial Services, Telecommunications industries)
• Opportunity to shape the strategy and growth of the Australia and New Zealand team
• Work with some of the best Cloud consultants in the market on strategic and innovative projects for high profile and highly regulated enterprises
• Hybrid working model (3 days in office)
• Competitive salary and Annual Incentive Plan
• Insurance discounts and Life Insurance Plans
• Paid certification and access to learning platforms
• Unlimited Annual Leave
• Special Vacation (5 days for marriage, Parental leave)
• Employee Assistance Program
• Mobile Phone Allowance