Data & AI Architect
Mivada · Hyderabad · onsite · Posted 7d ago
Undisclosed5–10 yrsfulltimeSourced from
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About this role
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; Mivadas 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 Mivadas AI Strategy Roll-Out Roadmap across the practice.
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 Mivadas 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 practices 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 practices 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 Mivadas 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 practices 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 Mivadas 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).
- Bachelors or Masters 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, theres 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!
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
ai regulationcase studiesai strategyAzure Aiai servicesCataloguingclassificationauditscopilotAzure OpenAIai governanceAnalyticsAI certificationCommunication SkillsArchitecturecomplianceAi SolutionsMicrosoft AzureArtificial Intelligence
About Mivada Technologies
Mivada
IT Services & Consulting
125
employees
2014
12 years old
Barongarook
AU
About
Australian-owned technology consultancy helping organisations get more from Workday, payroll, data and AI, and automation, with teams in Australia, India and the US.
Industries
Cloud ComputingConsultingInformation TechnologyWarehousing
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