Reporting to the Head of Data & AI and leading a small team of specialists, the role owns three things: Azure-based AI/BI and agentic offerings; Mivada's Responsible AI, data governance and AI assurance framework; and the Microsoft Data & AI partnership. This role works alongside the Enterprise Architecture & Snowflake COE, the Solutioning & Databricks COE, Pre-Sales, Propositions & Industry Engagement, and Client Engagement & Execution, and drives the governance, training and adoption program set out in Mivada's AI Strategy & Roll-Out Roadmap across the practice. Team leadership and people management
• Lead and manage a team of 3–5 Azure AI/BI engineers and AI / data governance specialists, owning their performance, development and day-to-day workload allocation.
• Recruit, onboard and develop team members; act as the escalation point for technical, governance and client issues the team raises.
• Set goals and conduct regular performance reviews for direct reports; identify and act on development and career-progression needs. Azure AI/BI and agentic solution design and delivery
• Design, build and productionise AI/BI and generative AI solutions on Microsoft Azure, Microsoft Fabric and Microsoft Foundry, including natural-language analytics (for example, Fabric data agents and Copilot in Power BI).
• Develop and orchestrate agentic AI workflows (for example, Foundry Agent Service, Copilot Studio or LangGraph-style supervisor/agent patterns) that connect governed enterprise data, models and knowledge sources to real business problems.
• Package proven patterns into named, reusable, sellable offerings with the Pre-Sales, Propositions & Industry Engagement lead, contributing to the practice's goal of at least one client-facing AI-enabled capability.
• Hand over to Client Engagement delivery pods with clear designs, guardrails and runbooks, and provide technical assurance through delivery. Data governance and trust
• Own the practice's data governance approach for AI and analytics: ownership and stewardship, classification, lineage, quality and cataloguing, using Microsoft Purview and, where relevant, Unity Catalog or Snowflake Horizon.
• Develop and deliver client-facing trust offerings such as AI governance operating models, data governance and AI-readiness assessments, and Copilot data-protection reviews. Microsoft Data & AI partnership
• Own Mivada's Microsoft Data & AI partner relationship and partner-tier roadmap, including the Solutions Partner for Data & AI (Azure)



designation and relevant specialisations.
• Lead Microsoft co-sell, joint go-to-market and partner-funded programs (for example, workshops, assessments and proofs of concept) together with the Pre-Sales, Propositions & Industry Engagement lead.
• Build and maintain certified Microsoft Data & AI capability across the practice, including own hands-on delivery.
• Represent Mivada at Microsoft partner forums and build relationships with Microsoft partner development managers and solution specialists. Internal AI enablement and capability uplift
• Build and maintain the reusable prompt/playbook library and templated workflows that move staff from ad hoc use (L1/L2) toward governed, team-level and client-facing use (L3+) on the practice's AI maturity scale.
• Recruit, train and coordinate the peer-coach network; deliver the role-based training tiers, including Responsible AI and AI literacy for all staff; track adoption, confidence and training completion each quarter. Client and stakeholder engagement
• Partner with the Pre-Sales, Propositions & Industry Engagement lead on AI and governance pursuits, providing solution design, estimates and Responsible AI positions for proposals.
• Contribute Responsible AI and data-trust thought leadership, such as points of view, events and case studies, to build Mivada's reputation and visibility.
• Advise client executives and risk, privacy and compliance stakeholders on AI governance, guardrails and trade-offs in transparent, non-technical terms.
• Keep current with the Azure, Fabric and Foundry roadmap and with AI regulation and standards; coach consultants in Azure AI delivery and Responsible AI practice. QUALIFICATIONS, SKILLS AND EXPERIENCE Essential
• Demonstrated experience leading and developing a small technical team (line management, performance reviews, resourcing and capacity planning).
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science or a related discipline, or equivalent practical experience.
• Senior experience in data and AI engineering or consulting, with hands-on delivery on Microsoft Azure data and AI services (for example, Microsoft Fabric,



Foundry, Azure OpenAI and Power BI).
• Practical experience building and productionising generative AI, natural-language analytics or agentic AI solutions.
• Experience designing or running enablement or training programs.
• Strong stakeholder management and communication skills, including with executive, risk and compliance audiences. Desirable
• HIGHLY DESIRABLE – Data, Agentic or AI certification across one or more of MS Azure, Databricks, Snowflake
• AI governance or data governance credentials (for example, IAPP AIGP, ISO/IEC 42001 Lead Implementer or DAMA CDMP).
• Experience managing a Microsoft partner relationship, including designation or specialisation audits and co-sell.
• Prior consulting or qualified services experience; experience running a champion network or community of practice. About Mivada Mivada is an Australian-owned technology consultancy, founded in Sydney in 2014. Since then, we’ve grown to more than 200 people across Australia, India and the US. We work with some of the most recognisable names in Australian business across Workday and ERP, payroll, data and AI, and automation, cloud and engineering. You’ll work alongside experienced consultants as part of our clients’ teams, close to the people who use what we build, with a focus on building long-term partnerships. How we work
• Take it, own it, drive it. You’ll raise ideas and issues before you’re asked, and see them through.
• We care. We listen closely and look out for each other, whatever team we’re in.
• Life-long learners. Through Developing Me, our ongoing development program, you’ll build a plan around where you want your career to go. Development is recognised in our bonus structure.
• Keep it simple. We find elegant solutions and bring clarity to complexity.
• Be authentic. We’re honest with each other and with clients, and feedback goes both ways.

What we offer
• Hybrid work that helps you balance work and personal commitments while meeting the needs of our clients and team
• Two doona days (wellbeing days) a year to rest and recharge
• Sponsored certifications and training
• Genuine career progression pathways
• Recognition awards twice a year
• An annual bonus opportunity as part of your remuneration package If you want to build things that work for the people who use them, alongside a team that backs your growth, apply now and let’s start with a conversation.

📌 Data & AI Architect (Sydney)
🏢 Mivada
📍 Sydney