Full-Time

Frontier Industry Advisor

Financial Services

Microsoft

Microsoft

10,001+ employees

Develops software, OS, and cloud services

No salary listed

Melbourne VIC, Australia

In Person

Bachelor's, Master's

Category
Business & Strategy (2)
,
Required Skills
Microsoft Azure
Market Research
Risk Management
Business Strategy
Data Analysis

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Requirements
  • A Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or a related field and 7 or more years of customer-facing experience in financial services, management consulting, consultative selling, technology, or equivalent management or technical work experience; or a Master's degree in Computer Science, Information Technology, Engineering, Health Sciences, Supply Chain, Education, Business, or a related field and 5 or more years of such experience; or equivalent experience.
  • At least 7 years of experience in a consultative sales, advisory, strategy, business development, transformation, or technology leadership capacity serving banking clients or working in relevant enterprise technology, fintech, payments, data and analytics, core banking, management consulting, systems integrator, or advisory organizations.
  • Ability to collaborate strongly, navigate a complex and matrixed internal organization, manage through influence, build organizational relationships, persevere through obstacles, and lead with accountability and an owner mindset.
Responsibilities
  • Serve as the banking and insurance industry subject matter expert in digital and artificial intelligence transformation and account planning.
  • Engage internal stakeholders on account and partner business planning, including business leaders, global systems integrators, independent software vendors, solution partners, and account teams.
  • Provide thought leadership on global industry trends and translate industry strategies and ecosystem opportunities into local markets and must-win accounts.
  • Drive stakeholder mapping, identify and influence customer decision makers, participate in account planning rhythms, and drive actions that advance long-term customer technology adoption.
  • Lead multi-horizon planning and create segment-focused three-horizon roadmaps for impactful accounts.
  • Build and maintain relationships with external senior- and executive-level decision makers and partners.
  • Advise executive-level customer business decision makers using knowledge of business strategy, market dynamics, technology trends, and Microsoft's industry perspective.
  • Identify customer needs, industry readiness, and business-value opportunities across banking and insurance value chains.
  • Lead industry conversations that position Frontier artificial intelligence as a catalyst for banking and insurance transformation and connect Microsoft technology to measurable business outcomes.
  • Shape market-making opportunities by working backward from customer outcomes to process, architecture, data, artificial intelligence, security, governance, and change-management requirements.
  • Collaborate with account, rapid deployment, industry solution, partner, and internal teams to build and mature banking pipeline.
  • Conduct customer and market research into operating models, revenue levers, cost pressures, credit and risk posture, regulatory priorities, data estates, and enterprise-scale artificial intelligence, cloud, and agentic workflow opportunities.
  • Represent the financial services industry perspective in customer conversations and ideation sessions.
  • Identify, advance, and scale high-impact Frontier AI scenarios for strategic banking and insurance accounts.
  • Help customers move from artificial intelligence pilots to enterprise-ready transformation by redesigning operating models and workflows, modernizing data foundations, and embedding responsible artificial intelligence, security, and governance at scale.
  • Develop banking and insurance visions and business-value cases that connect Microsoft technology to growth, productivity, risk reduction, resilience, regulatory readiness, customer experience, and commercial success.
  • Act as a trusted advisor to senior decision makers and shape strategic opportunities, expand solutions across business lines and regions, and incubate transformation pipeline.
  • Champion Forward Deployed Engineering and identify, originate, and qualify opportunities for embedded, co-engineered, production-grade solutions.
  • Partner with Forward Deployed Engineering teams throughout the engagement lifecycle, connecting business sponsors, account teams, and delivery leaders.
  • Collaborate with account teams, business strategy leads, business development managers, solution architects, technical specialists, industry solution teams, consulting teams, and partner organizations to execute customer opportunities.
  • Coordinate with commercial, legal, compliance, engineering, and customer success teams to establish formal partnerships and advance strategic programs.
  • Build and maintain knowledge of Microsoft and industry-relevant solutions, industry trends, policy implications, and competitors.
  • Communicate ecosystem feedback to sales, marketing, and engineering teams on product trends and sales blockers, and guide industry solution team members.
  • Advise and present to industry and customer communities, provide account recommendations, establish a learning baseline for less experienced colleagues, and share relevant training with team members.
Desired Qualifications
  • A Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or a related field and 10 or more years of customer-facing experience in financial services or equivalent experience; or a Master's degree in Computer Science, Information Technology, Business, or a related field and 7 or more years of relevant experience; or equivalent experience.
  • Experience working with banking business leaders on transformation opportunities across retail banking, commercial banking, corporate banking, payments, lending, deposits, treasury services, cash management, customer onboarding, branch and contact center modernization, digital banking, credit decisioning, fraud and financial crime, risk management, compliance, regulatory reporting, data and analytics, core banking modernization, and banking operations.
  • Ability to engage senior business decision makers, shape business value propositions, and translate strategic banking priorities into technology-enabled transformation opportunities.
  • Working knowledge of cloud, data, artificial intelligence, Frontier AI, automation, security, and modern application capabilities in regulated banking and financial services environments.
  • Ability to work across account teams, solution teams, engineering, partners, consulting organizations, and senior customer stakeholders to shape complex transformation programs and drive execution.
  • Experience with Asian banking markets and familiarity with Asian and Australian regulatory environments, including APRA and the Australian insurance regulator.
  • Experience identifying, originating, or collaborating with forward-deployed or embedded engineering teams to co-build and scale production-grade artificial intelligence and agent solutions with customers.

Microsoft develops software, devices, and cloud services. Windows is an operating system that runs on personal computers, Office provides productivity apps, and Azure offers cloud computing and developer tools. The company differentiates itself with a large, integrated ecosystem of software, devices, and services, plus long-standing partnerships with PC makers and a broad enterprise footprint. Its goal is to put a computer on every desk and in every home, and to extend that reach through cloud services, professional networking (LinkedIn), and gaming.

Company Size

10,001+

Company Stage

IPO

Headquarters

Redmond, Washington

Founded

1975

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Simplify Jobs

Simplify's Take

What believers are saying

  • Fiscal 2026 revenue reached $331.8 billion, up 18%, with strong operating leverage.
  • Azure crossed $100 billion annual revenue in fiscal 2026, while growing 43% year over year.
  • Microsoft 365 Copilot passed 30 million paid seats, proving enterprise willingness to pay.

What critics are saying

  • July 23, 2026 Azure maintenance bug broke Copilot, Teams, Graph, and Microsoft 365 globally.
  • July 6, 2026 Microsoft cut 4,800 jobs, including 3,200 Xbox roles, signaling internal strain.
  • OpenAI supplies roughly 70% of Microsoft AI revenue, creating concentration and dependency risk.

What makes Microsoft unique

  • July 29, 2026: Microsoft commercial backlog hit $678 billion, locking in future revenue.
  • Office, Windows, and Azure create unmatched distribution across work, devices, and cloud.
  • Microsoft Foundry and Copilot bundle models, apps, and commerce into one enterprise platform.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

Professional Development Budget

Conference Attendance Budget

Flexible Work Hours

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

0%
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Investor sentiment around artificial intelligence is shifting towards demanding concrete returns rather than just ambitious spending promises. Tech companies plan to invest over $700 billion in AI this year, with expectations of further increases. Recent earnings revealed a clear divide. Microsoft, Amazon, and Palantir saw double-digit stock price jumps after demonstrating strong results. Microsoft maintained $19.9 billion in quarterly free cash flow despite heavy AI investments, whilst Amazon's cloud division posted its fastest growth in four years, with its AI business exceeding a $25 billion annual run rate. Meanwhile, Meta Platforms, Alphabet, and Tesla faced investor scepticism over their substantial AI expenditures without comparable proof of returns. The market has entered what analysts call the "show me" phase, where tangible financial results from AI investments now matter more than spending commitments alone.

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Aug 22nd, 2026
Microsoft's $678B backlog drives $590 price target with 22% upside

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Aug 21st, 2026
$7.6T AI spending gap risks Nvidia margins as Microsoft turns cheap inference into recurring revenue

Goldman Sachs estimates $7.6 trillion in cumulative AI capital spending from 2026 through 2031, whilst OpenAI and Anthropic generated combined annualised revenue exceeding $105 billion by August 2026. The industry must scale annual recurring revenue past $1 trillion by 2030 to avoid infrastructure write-downs on hardware with 3-to-5-year lifecycles. Nvidia faces exposure as its 74.9% quarterly gross margin depends on scarce GPU demand, whilst hyperscalers deploy internal chips like Google's TPUs and Amazon's Trainium. The shares traded at 25.64 times forward earnings as of 17 August. Microsoft's AI operations exceeded a $37 billion annual run rate in the March quarter, up 123% year-on-year. GPT-4-level inference costs have fallen 50-fold, potentially expanding market demand.

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Aug 21st, 2026
Microsoft launches agentic commerce playbook as AI agents set to capture 15-25% of US e-commerce by 2030

Microsoft Advertising released an agentic commerce blueprint on Friday to help businesses prepare for AI agents making purchases on behalf of consumers. The "Agentic Playbook" focuses on three priorities: ensuring brands get discovered by agents, making purchases seamless, and optimising performance. The blueprint outlines a 90-day implementation structure. The first 45 days focus on building foundations like preparing product feeds and ensuring smooth checkout. The second 45 days concentrate on content optimisation. Bain & Company estimates agentic commerce will account for 15% to 25% of the US e-commerce market by 2030. Microsoft Copilot operates on the Universal Commerce Protocol, connecting it with retailers including Target and Ulta Beauty. On Thursday, Microsoft rolled out AI Max to all accounts, offering features like search term matching and dynamic URL routing for advertising campaigns.

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Aug 20th, 2026
ChronoScale secures two-year Microsoft deal for 50 MW AI compute deployment

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