Business Architect
About the job
- A minimum of 7.5 years of experience is required, with the posting also specifying 10–12+ years in Dynamics 365 customer relationship management implementation and consulting and a minimum of 8 years in Microsoft Dynamics customer relationship management technical work.
- Proficiency in Microsoft Dynamics customer relationship management technical architecture.
- Experience configuring and customizing Microsoft Dynamics 365 customer relationship management modules, including Sales, Customer Service, and Marketing.
- Experience designing scalable customer relationship management workflows, dashboards, and integrations with enterprise systems.
- Experience ensuring high performance, security, and compliance of customer relationship management solutions.
- Experience developing and deploying generative artificial intelligence-powered features, including intelligent chatbots, Copilot extensions, automated content generation, and predictive insights.
- Experience integrating Azure OpenAI, Copilot Studio, and other generative artificial intelligence services into customer relationship management workflows.
- Working experience with Power Automate, AI Builder, Copilot in Dynamics 365, and Power Platform.
- Strong understanding of generative and agentic artificial intelligence, prompt engineering, and artificial intelligence evaluation frameworks.
- Ability to align artificial intelligence capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.
- Ability to manage time, tasks, and client expectations independently.
- Fifteen years of full-time education.
- Identify opportunities to deliver tangible business value by assessing the current state, capturing high-level requirements, and defining business solutions.
- Translate business needs into technology-enabled solutions and operating models.
- Support transformation by developing business cases and guiding implementation of key initiatives.
- Lead artificial-intelligence-driven solution design and delivery by applying generative and agentic artificial intelligence to complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows.
- Act as a functional expert in Dynamics 365 customer relationship management during workshops, requirement gathering, and solution design discussions.
- Collaborate with the Solution or Enterprise Architect to convert business requirements into scalable configurations.
- Execute fit-gap analysis, prepare functional design documents, and validate end-to-end process flows.
- Configure Dynamics 365 customer relationship management modules and support artificial-intelligence-driven features, including Copilot setup, Power Automate, and AI Builder workflows.
- Work with Finance, Commerce, and Technical teams to ensure seamless solution alignment.
- Support system integration testing, user acceptance testing, data validation, and production readiness.
- Contribute to the creation of reusable assets, accelerators, and knowledge documentation.
- Mentor consultants and analysts and promote high-quality delivery standards.
- Lead the implementation and customization of Microsoft Dynamics 365 customer relationship management modules.
- Implement continuous integration and continuous delivery pipelines for customer relationship management and artificial intelligence deployments using Azure DevOps.
- Exposure to Power Apps, Power BI, or integration touchpoints.
About the company
Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.
Company Size
10,001+
Company Stage
IPO
Headquarters
Dublin, Ireland
Founded
1989
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Simplify's Take
What believers are saying
- Business demand grew: October 2026 results showed $74.2 billion annual revenue, up 5% in local currency.
- Eligible US employees buy discounted stock: Accenture's purchase plan sells shares at 15% below market price.
- Client relationships run deep: Accenture has worked with 195 of its top 200 customers for more than ten years.
What critics are saying
- Bookings are not guaranteed revenue: most Accenture contracts let clients cancel quickly with little or no penalty.
- Promotions require AI adoption: Accenture's CEO said in March 2026 that employees must use its tools effectively.
- Federal hiring practices proved costly: Accenture settled discrimination allegations for $25 million in September 2026, without a liability finding.
What makes Accenture unique
- Its AI platform switches models: AI Refinery selects among prebuilt models according to cost, performance and other requirements.
- Accenture owns specialist Microsoft expertise: it cofounded the Microsoft-focused Avanade consultancy with the software maker.
- Consulting includes creative agencies: Accenture Song owns businesses spanning advertising, digital product design and customer engagement.
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Benefits
Health Insurance
Professional Development Budget
401(k) Retirement Plan
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Company News
Accenture (NYSE: ACN) is betting on enterprise AI as its main growth engine. At its Investor and Analyst Day, the company targeted at least mid-single-digit constant-currency revenue growth in fiscal 2027 and 2028, rising to mid- to high-single-digit growth from fiscal 2029. Chief executive officer Julie Sweet said AI will create new demand that exceeds work lost to automation. The company has grown its AI and data workforce from 40,000 to nearly 110,000. Accenture plans to return $9.5 billion to shareholders in fiscal 2027 and spend about $5 billion on acquisitions. It expects annual operating-margin growth of 10 to 30 basis points. Its network of specialised businesses, now 6% of revenue, could double by fiscal 2029. Fiscal 2026 revenue was $74.2 billion, up 5% in local currency.
Accenture shares rose 10.4% after the company reported higher sales and earnings for its fourth quarter and full year in early October 2026. It confirmed fiscal 2027 guidance, raised its quarterly dividend to $1.71 per share, and completed a long-running share repurchase program. The company also expanded its AI alliances with Dell and Workday and acquired Sagacity. It aims to embed agentic AI into client functions such as HR, finance, and customer engagement. Accenture's narrative projects $86.3 billion in revenue and $10.3 billion in earnings by 2029, up from $8.4 billion today. Pricing pressure and slower discretionary spending remain the main risks.
Accenture will hold an Investor Day on October 14, where it is expected to detail its long-term strategy, AI monetisation plans, growth guidance, and margin expansion goals. The event follows a rebound in its shares after fears that AI would erode traditional consulting work. The stock hit a low of $118.15 in June, down from a January high of $291.09. It has since gained nearly 77%, helped by fourth-quarter results on October 1 and an expanded collaboration with Dell Technologies. Fourth-quarter revenue rose 6% to $18.7 billion, and new bookings reached $22.2 billion. Accenture expects fiscal 2027 revenue growth of 3% to 6% in local currency. It raised its quarterly dividend by 5% to $1.71 per share, payable November 13, 2026. Its market capitalisation is about $139.6 billion.
Accenture has acquired Sagacity, a London-based data and customer intelligence firm, to strengthen Accenture Song's AI-powered customer services. The deal brings more than 140 professionals to Accenture Song's UK and Ireland operations. Terms were not disclosed. Founded in 2005 by Anita Dougall, Malka Townshend, and Harry Dougall, Sagacity offers data assets, AI-enabled technology, and customer intelligence expertise. Accenture says clients want to connect data, AI, and operations into unified programmes that deliver measurable results. The move targets industries with large customer bases, such as utilities, retail, banking, and telecommunications. "Sagacity's deep expertise and outcome-focused approach will enhance our ability to help clients turn insight into action," said Sohel Aziz, senior managing director of Accenture Song, UK and Ireland.
TM Forum has launched a multi-year Trustworthy AI programme with Accenture to help telecoms deploy autonomous operations with verifiable trust standards. The initiative will deliver the industry's first Trustworthy AI Governance Certification, providing a benchmark for trusted AI deployment. Recent TM Forum research found that whilst 72% of communications service providers believe their AI capabilities are trustworthy, only 14% can verify their claims. The programme aims to transform AI trust from aspiration into measurable operational capability. The certification will help organisations assess governance maturity, workforce readiness, and operational accountability needed to scale AI autonomously. It will operate through TM Forum's AI-Native Collaboration Studios, where telecoms operators, vendors, and partners will contribute real-world use cases to shape the framework.