Senior Solutions Architect, Data & AI

Job Description

As our Senior Solutions Architect, Data & AI, you’ll sit at the intersection of Enterprise Architecture and Data & Analytics, translating strategy into real, deliverable solutions.

You’ll lead the design of scalable, secure and future-ready architectures, guiding everything from data platforms and analytics to AI-enabled solutions. This is a newly created role, and we are looking for someone who is a  leader, trusted advisor and able to deliver in a complex, highly regulated environment.

What you’ll be doing

• Define and lead end-to-end solution architecture across data, analytics and AI initiatives
• Act as the critical bridge between enterprise strategy and delivery teams
• Translate complex business, regulatory and technology needs into practical, scalable designs
• Provide hands-on leadership across data platforms, AI solutions, integration and analytics ecosystems
• Embed security, privacy, governance and responsible AI into all solution designs from day one
• Guide teams through design patterns, trade-offs, risks and dependencies
• Drive architectural consistency across data ingestion, transformation, modelling, serving and reporting
• Identify and manage architectural risk, technical debt and cross-platform impacts
• Contribute to the evolution of enterprise data and AI architecture roadmaps and standards

Qualifications

To be successful in this role, you will need:

• Significant experience in solution architecture roles within complex enterprise and highly regulated environments. 
• Demonstrated experience designing and guiding solutions across data platforms, analytics, reporting, integration and AI-enabled capabilities. 
• Strong understanding of modern data architecture, including data ingestion, data pipelines, data modelling, lakehouse or warehouse patterns, metadata, lineage, data quality and data serving layers. 
• Experience working with cloud-based data platforms and modern analytics ecosystems, preferably including Microsoft D365, Azure and Databricks. 
• Experience with AI, machine learning or generative AI solution patterns, including data preparation, model integration, deployment, monitoring, human oversight and responsible use considerations. 
• Strong understanding of data governance, privacy, security, access management, ethical AI and regulatory considerations in a sensitive or regulated data environment. 
• Proven ability to operate at the intersection of enterprise architecture and delivery, balancing strategic alignment with pragmatic implementation. 
• Ability to translate complex business, data and technology requirements into clear architecture options, recommendations and delivery-ready designs. 
• Experience working with agile, SAFe or iterative delivery teams in transformation or enterprise technology environments. 
• Strong stakeholder engagement skills, with the ability to influence senior stakeholders. 
• Ability to simplify complex data and AI concepts for non-technical audiences, including executives and governance forums. 
• Strong analytical and decision-making capability, with sound judgement in balancing speed, risk, cost, sustainability and architectural integrity. 
• Credible technical leader and natural collaborator 
• Customer‑centric, adaptable and delivery‑oriented. 

Additional Information

• Silver AWEI Accreditation 2025 – Recognised for LGBTQ+ workplace inclusion.
• Accredited Family Friendly Workplace – Supporting work-life balance and inclusivity.
• Hybrid working – Flexible arrangements with two days a week in our modern offices designed for collaboration and wellbeing.
• Additional and inclusive leave options – Flexible public holidays, gender affirmation leave, women’s health leave, and bonus paid time off over the end of year holiday period.

To apply

If you’re passionate about fairness and believe your skills align with this role, we encourage you to apply even if you don’t meet every single criterion.

We welcome applications from people of all backgrounds, cultures, abilities, sexual orientations, and gender identities. If you require any accessibility support during the recruitment process, please reach out to our team at [email protected].

We believe fairness starts with people. That’s why we don’t use AI or automated tools to screen candidates. As a result, our processes may take a little longer, and we thank you for your patience.

About AFCA

The Australian Financial Complaints Authority (AFCA) was established in 2018 as a private not-for-profit ombudsman service providing free, fair and independent help with financial disputes. The original team has grown to over 1600 dedicated professionals. Since 2018, AFCA has received more than 634,000 complaints, helping to secure $2.1 billion in compensation for consumers. 

AFCA is a 2026 Circle Back Initiative Employer - we are committed to responding to every applicant.