IT Data Infrastructure Architect VP

IT Data Infrastructure Architect - Vice President

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking securities investment management and wealth management services. Our success depends on the talent and passion of our people. We offer a superior foundation for building a professional career where you can learn achieve and grow.

Technology is the key differentiator that enables us to manage global businesses and serve clients on a resilient secure and innovative platform. Our award-winning technology platforms drive business excellence and innovation across complex financial markets.
Technology Architecture & Modernization

The Architecture & Modernization (AM) team drives the Firms multi-year technology modernization roadmap focusing on architecture frameworks product delivery and developer enablement. We aim to modernize technologies and practices to deliver scalable secure and future-ready platforms.

Role Overview
We are seeking a Data Infrastructure Architect with 7 years of experience in designing and governing enterprise-scale data platforms within regulated environments. The role ensures data is accessible trusted secure and optimized for analytics machine learning and AI-driven solutions. Ideal candidates will either already have transitioned to or be ready to transition from a hands-on delivery role to strategic influence shaping data architecture standards and guiding technology decisions across the organization.

Key Responsibilities

• Architecture & Design

• Develop and execute data infrastructure architecture strategies roadmaps and blueprints for enterprise IT initiatives.

• Divisional Data Officer driving data architecture & governance working in close collaboration with Firmwide Data Office and other Divisional Data Officers

• Collaborate with SME teams building and scaling data platforms (data lakes warehouses) across on-prem cloud and hybrid environments.

• Implement semantic layers for consistent governed data views enabling self-service analytics and explainable AI

• Oversee data quality processes and enforce standards to minimize data duplication and ensure trusted data.

• Recommend and implement cloud-native solutions for scalability resilience and business continuity.

• Drive modernization of infrastructure systems through cloud adoption automation and software-defined technologies.

Governance & Compliance

• Conduct architecture reviews ensuring alignment with regulatory security and enterprise standards.

• Maintain reference architectures policies and best practices for data infrastructure.

• Ensure robust data protection encryption and zero-trust security principles.

Collaboration & Stakeholder Engagement

• Promote architectural best practices resolve design challenges and influence technical decisions.

• Partner with enterprise architects engineering teams and SREs to align solutions with IT strategy.

• Provide technical leadership and guidance to engineering and operations teams. Required Technical Skills

• Data Platforms: Experience in building & scaling data lakes data warehouses and associated data systems.

• Databases: SQL PostgreSQL; MongoDB and cloud-based platforms (e.g. Snowflake Databricks Redshift).

• Semantic Layer: Design and implementation for governed reusable data views.

• Data Governance Tools: Collibra Alation Talend or equivalent.

• Expertise in ETL tools and processes (e.g. Apache NiFi Talend Informatica)

• Security: Data Privacy Data Protection & Encryption frameworks & governance

• Enterprise Architecture Frameworks: TOGAF Zachman; familiarity with ITIL processes.

Additional Helpful Skills:

• Cloud Platform Awareness: One or more of AWS Azure and /or GCP

• Automation & IaC: Terraform Ansible Puppet; CI/CD pipelines (Jenkins GitHub Actions).

• Observability & Monitoring: Experience integrating observability and monitoring solutions (Splunk Prometheus Loki Grafana).

AI & Advanced Analytics Exposure:

• LLM Integration: Retrieval-augmented generation fine-tuning prompt engineering.

• Generative AI: Building and deploying generative AI solutions for data-driven insights and automation.

• Agentic AI: Designing agent-based architecture for autonomous workflows and decision-making.

Qualifications & Experience

• 7 years in IT data infrastructure within large regulated enterprises.

• Proven experience in data architecture and modernization initiatives.

• Strong understanding of data security and compliance requirements in financial services.

• Excellent communication problem-solving and stakeholder management skills.

Key Competencies

• Ability to influence technical decisions in complex environments.

• Demonstrated leadership in cross-functional teams

• Strong analytical and strategic thinking.

• Passion for emerging technologies and continuous improvement.

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WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley we raise manage and allocate capital for our clients helping them reach their goals. We do it in a way thats differentiated and weve done that for 90 years. Our values - putting clients first doing the right thing leading with exceptional ideas committing to diversity and inclusion and giving back - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll find an opportunity to work alongside the best and the brightest in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey offering some of the most attractive and comprehensive employee benefits and perks in the industry. Theres also ample opportunity to move about the business for those who show passion and grit in their work.

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Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion where individuals are hired developed and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate bringing a variety of backgrounds talents perspectives and experiences.

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