Data & AI Architect

Mivada Pty Ltd; Sydney; Hybrid; AUD 190,000 - 270,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Mivada is seeking a senior AI/Data leader to own Azure-based AI/BI offerings, data governance and AI assurance, and to steward the Microsoft Data & AI partnership. You will lead a small team and collaborate with architects, pre-sales and delivery to translate strategy into repeatable capabilities.

With governance, training and adoption oversight, you’ll drive responsible AI practices, data trust, and scalable client-facing solutions across Fabric, Foundry and Azure.

Qualifications

• Demonstrated experience leading and developing a small technical team.
• Senior experience in data and AI engineering or consulting with hands-on delivery on Microsoft Azure data and AI services.
• Practical experience building and productionising generative AI or agentic AI solutions.
• Experience designing or running enablement or training programs.
• Strong stakeholder management and communication with executive, risk and compliance audiences.

Responsibilities

• Lead and manage a team of 3–5 Azure AI/BI engineers and AI/data governance specialists.
• Recruit, onboard and develop team members; act as escalation point for technical, governance and client issues.
• Set goals and conduct performance reviews for direct reports; plan development and career progression.

Skills

Team leadership

Azure AI/BI engineering

Data governance

Microsoft Data & AI partnership

Stakeholder management

Training programs

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science or related field

Tools

Microsoft Fabric

Foundry

Azure OpenAI

Power BI

Purview

Snowflake Horizon

Job description

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 clear, 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 professional services experience; experience running a champion network or community of practice.

Benefits

WHY JOIN US

Everyone who joins our team is treated as a trusted member of the team, not a number. Ultimately your success is our success, so we invest in our People heavily. Here are the top reasons to join us:

• Developing you is a key focus - we help you craft your career
• Pioneers in Parental Leave benefits - we provide equality in our parental leave for all genders and parental types
• Doona Days - additional two days off for your mental health
• Fun is an everyday experience - we challenge you in a positive way so you enjoy your growth journey
• Competitive Compensation & Pay for Performance
• Opportunities to be more for yourself and others

WHO WE ARE

At Mivada we believe that when you bring technology and the right people together, there’s no limit to what you can achieve.

Mivada is a high-growth technology consultancy, headquartered in Australia, offering services to both high-growth, mid-sized and global blue chip clients. We run a hybrid model with the majority of our team onshore, as well as an offshore capability in India. We have the ability to support global businesses 24/7 365. Our flexible approach and strong reputation have led to repeat work and growth. Our clients are our advocates.

We believe cultural fit is as important as technical skills. We operate as a team, supporting and learning from each other and we genuinely care about our clients’ success. Our Leaders are accessible, humble, and sometimes pretty funny! We like to enjoy our time at work, which means we encourage each other to shoot for the moon!