20 publicaciones de empleo destacadas de security risk assessment en madrid, md (¡Están contratando!)

Managed Services Solution Architect – AI-enabled Service Transformation
Avanade —Madrid, Madrid provincia
- Azure
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- DevOps
8d
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Palo Alto Networks —Madrid, Madrid provincia
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CTI Senior Analyst - Santander Digital Services
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BNP Paribas —Madrid, Madrid provincia
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UST Global —Madrid, Madrid provincia
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Integration Architect, Google Cloud
Google —Madrid, Madrid provincia
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IAM Integration Engineer - Workforce IAM (Hybrid set up), Madrid (M, ES)
Swiss Re —Madrid, Madrid provincia
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- Jornada completa
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BNP Paribas —Madrid, Madrid provincia
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Managed Services Solution Architect – AI-enabled Service Transformation

Avanade -
Madrid, Madrid provincia

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Detalles del empleo

Hace 8 días

Cualificaciones

Estimación de precios
Azure
Ventas
DevOps
Habilidades de análisis
GitHub
Escalabilidad
Cloud
Soporte de aplicaciones
Inteligencia artificial
Liderazgo

Descripción completa del empleo

Job Description

This role is designed for a strategic Managed Services architect capable of shaping commercially compelling, AI- enabled and outcome-driven service models across applications, infrastructure and cloud operations.

Position Purpose

Avanade is accelerating the growth and evolution of its Managed Services business across Applications, Infrastructure, Cloud and Digital Operations. As part of this ambition, we are looking for a Managed Services Solution Architect with strong deal shaping, service model design and strategic transformation capabilities.

This role will be responsible for shaping compelling, commercially viable and future-ready Managed Services solutions for new and existing clients. The successful candidate will combine deep understanding of Managed Services delivery models with a strong business mindset, helping Avanade define differentiated value propositions, modern operating models and scalable service frameworks.

A key focus of the role will be to contribute to the evolution of Managed Services through AI-enabled operations, automation, observability and Agentic AI service models , supporting both infrastructure and application managed services. The candidate will help clients move from traditional service models towards more intelligent, proactive, measurable and outcome-based services, combining human expertise with AI-driven service orchestration.

The role requires strong customer-facing skills, executive communication, commercial awareness and the ability to translate complex technical and operational concepts into clear business value for clients.

Key Responsibilities

The Managed Services Solution Architect will be accountable for shaping and developing Managed Services solutions across new opportunities and existing client accounts. Responsibilities will include:

Lead the end- to- end shaping of Managed Services opportunities , from early qualification and discovery to proposal development, commercial modelling and contract support.

Work with Sales, Account Leadership, Delivery, Finance and Offshore/Nearshore Delivery Centers to design solutions that are operationally robust, commercially competitive and aligned with Avanade’s delivery capabilities.

Interpret explicit and implicit client requirements, identifying business drivers, operational pain points, service integration needs, risks and transformation opportunities.

Design next-generation Managed Services operating models across Applications, Infrastructure, Cloud, Workplace, Security and Service Management domains.

Define service models that include governance, roles and responsibilities, SLAs/XLAs, KPIs, service integration, transition approach, delivery locations, automation opportunities and continuous improvement mechanisms.

Contribute to the development of AI-enabled and agentic service frameworks , identifying practical use cases for automation, AI agents and intelligent operations across incident management, request fulfilment, monitoring, application support, infrastructure operations, knowledge management, service reporting and software delivery lifecycle support.

Support the transition from reactive service models to proactive, predictive and increasingly autonomous service operations , ensuring that AI adoption is measurable, governed and aligned with business outcomes.

Develop clear and compelling value propositions, business cases and executive narratives that articulate the expected impact of the proposed service model in terms of efficiency, quality, resilience, scalability, user experience and innovation.

Own or contribute to effort estimation, cost modelling, solution plans, risk assessments and pricing inputs, ensuring full visibility of service costs across the contract lifecycle.

Support commercial strategy and client conversations, helping shape pricing models, transformation roadmaps, value-based propositions and long-term service evolution plans.

Prepare and present proposals, solution plans and service transformation approaches to client stakeholders, including technical, operational and executive audiences.

Identify and mitigate solution risks related to delivery feasibility, transition complexity, tooling, data quality, security, AI governance, commercial assumptions and contractual commitments.

Promote the use of Avanade assets, accelerators, delivery methodologies and Microsoft ecosystem capabilities to differentiate Managed Services solutions.

Qualification

Required Experience

Proven experience in Managed Services, IT outsourcing, application management, infrastructure operations, cloud operations or service transformation.

Experience in service solutioning, deal shaping, presales, proposal development or managed services delivery leadership.

Strong understanding of Managed Services delivery models, including local, nearshore, offshore, global and distributed delivery models.

Ability to design and articulate service models covering governance, transition, delivery, tooling, SLAs, KPIs, automation, reporting and continuous improvement.

Strong commercial and analytical skills, including experience with estimations, cost models, pricing assumptions and financial business cases.

Experience working with Sales, Finance, Delivery and Account teams to shape commercially viable and deliverable solutions.

Strong customer-facing skills, with the ability to communicate complex service, technical and operational concepts to business and executive stakeholders.

Knowledge of ITIL-based service management practices and modern delivery approaches such as Agile, DevOps, DevSecOps and continuous improvement.

Ability to work effectively across multidisciplinary teams, contributing to collective success while bringing a clear personal point of view.

Preferred Experience

Experience defining or transforming Managed Services models across both Application Managed Services and Infrastructure / Cloud Managed Services .

Exposure to AI, automation or intelligent operations use cases within IT services, including AIOps, observability, virtual agents, knowledge automation, service desk automation, code assistance or agentic workflows.

Understanding of Microsoft ecosystem capabilities relevant to Managed Services, such as Azure, Azure Monitor, Application Insights, Defender, Power Platform, Copilot Studio, GitHub Copilot or related AI-enabled platforms.

Experience designing service improvement roadmaps, automation backlogs, AI adoption plans or operational maturity models.

Experience engaging with C-level or senior client stakeholders in strategic service transformation conversations.

Knowledge of SIAM, FinOps, SRE, cloud operations, security operations or enterprise service management would be an advantage.

Core Competencies

Strategic thinking and business value orientation

Customer focus and consultative selling

Managed Services solutioning and service model design

Commercial awareness and financial discipline

Executive communication and storytelling

Collaboration across Sales, Delivery, Finance and Technology teams

Technical passion and curiosity for innovation

Change leadership and continuous improvement mindset

Practical understanding of AI, automation and agentic service transformation

Risk awareness, governance and responsible AI mindset

Success Measures

The success of this role will be measured by the ability to:

Shape high-quality Managed Services solutions that are compelling, deliverable and commercially sound.

Increase the strategic differentiation of Avanade’s Managed Services proposals.

Contribute to business growth through stronger value propositions, better deal shaping and improved client conversations.

Embed AI, automation and agentic service thinking into Managed Services opportunities in a practical and measurable way.

Improve alignment between client business outcomes, service design, delivery capabilities and commercial models.

Support the evolution of Managed Services from traditional delivery models towards intelligent, proactive and outcome-based services.

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