We know a lot about investing and are certain there’s no better investment a company can make than in its employees. People don’t just drive a company; they are the company. So when people work at their best, companies do too. Morgan Stanley at Work, a division of Morgan Stanley Wealth Management, provides workplace financial solutions that build employee financial confidence, foster loyalty and help our corporate clients attract and retain top talent. Our end-to-end offering spans Equity, Financial Wellness and Retirement Solutions. Plus, we provide all employees with Financial Empowerment, so they have the knowledge, tools and support needed to make the most of their workplace financial benefits.

What you’ll be part of – our Morgan Stanley at Work culture:

At Morgan Stanley at Work, we walk the talk. We have created a place for our employees to learn, achieve and grow – a place for people to build a career where you can thrive both personally and professionally. We are passionate about exceeding our clients’ expectations and helping them succeed. We are fearless in taking on new challenges that deliver exceptional results. We believe amazing things can happen when we work together in an environment where everybody has a true sense of belonging and their ideas are heard.

We value differences and are committed to providing a work environment where our people can do their best work. We look for people who are problem solvers, empathetic listeners, team players and inclusive leaders. We are committed to your growth and development, and your entire employee experience. We recognize that our people and culture are the keys to our success. We invite you to explore how you can be an integral part of our team.

Robotic Process Automation Manager Responsibilities:

The Robotic Process Automation manager will be key leader within the Morgan Stanley at Work organization. The candidate will work cross-functionally towards the goal of successful end-to-end delivery of Automation projects, bringing a willingness to do what it takes to get milestones delivered in a timely and accurate manner. The candidate will build exceptional relationships with both immediate and cross-functional teams and thrive in a fast-paced and evolving environment focusing on all aspects of client readiness and support for clients as they move through the full lifecycle of onboarding activities onto the Morgan Stanley at Work equity administration platforms.

This manager's position is responsible for overseeing the successful completion of several concurrent Automation projects. This role requires a combination of strategic and tactical problem solving, coupled with execution capability. The successful candidate will be a self-starter and have strong integration experience, with a proven track record of achieving success in a fast-paced, results-driven organization.

This highly visible position involves interacting with a variety of individuals at all levels within the organization. Candidate must be driven, collaborative and a self-starter, be organized and detail-oriented, and have excellent communication skills. This position requires the ability to understand complex software and business concepts and to quickly absorb the business details.

The Robotic Process Automation Manager:

• Lead a dynamic, multi-disciplinary team of developers, business analysts, testers, and support staff responsible for delivering high-quality automation solutions
• Ensure scalable, secure, and high-quality delivery through robust governance and disciplined execution.
• Is a strategic thinker who can balance long-term planning with day-to-day execution
• Provides a strong leadership presence with a collaborative style that promote empowerment, accountability and high performance
• Has strong business acumen with the ability to translate complex business requirements into scalable technical solutions
• Innovate, Develop and implement strategies to integrate Automation tools and technologies including the Robotic Process Automation (RPA) technologies and streamline Morgan Stanley at Work processes.
• Is skilled in identifying capability and process gaps, and setting clear direction to address them
• Act as a bridge between India based delivery teams and global leadership to ensure alignment and execution
• Builds a culture of performance, collaboration, and continuous learning.
• Monitor and analyze the effectiveness of Automation initiatives, providing regular reports to senior management.
• Manage project timelines, budgets, and resources to achieve department goals and objectives.
• Serves as a trusted subject matter expert to position best-practices with internal stakeholders.
• Stays current with new technology, products and enhancements, and their integration into application and operations.
• Builds strong relationships with internal business and technical teams to facilitate the development and delivery of automation requests.
• Ensures developed Automation solutions are delivered to the highest standards, inclusive of end-to-end testing are performed, meeting or exceeding expectations.

Experience

• Bachelor’s or master’s degree in the Computer Science, Software Engineering, Data Management, Business, Finance, Sciences, or equivalent education, training, and experience
• Minimum of 12+ years of experience in technology delivery with at least 5 years of experience in a leadership role.
• Proven experience overseeing large-scale software development function in a global delivery environment
• History of delivering transformation through automation, with measurable impact on operational efficiency and client satisfaction.
• Effective in stakeholder engagement at senior leadership levels with the ability to align technology delivery with business strategy

People Management

• Proven experience in leading, mentoring, and developing talent at all levels, fostering a culture of collaboration, continuous improvement, and innovation.
• Ability to develop and coach managers within the team to become strong, independent leaders capable of driving team performance and accountability.
• Proven record of prioritizing work for a team with deliverables across multiple work streams.
• Demonstrated ability to effectively manage and coordinate onshore and offshore teams and projects.
• Sets a high standard of accountability and dependability.
• Proven success working in highly collaborative, team-centric environments.
• Proven success at delivering an exceptional customer experience.

Communication

• Ability to communicate effectively with senior leadership, business stakeholders, and technical teams across regions to ensure alignment and transparency.
• Ability to communicate complex technical concepts to non-technical stakeholders effectively.
• Proven track record of stakeholder management across global teams, including effective handling of escalations, competing priorities, and delivery risks.
• Excellent planning and organizing skills. Can accurately scope out length and difficulty of tasks, sets objectives and goals, adjusts for problems and measures performance.
• Proven track record in successfully handling multiple projects at one time. Ability to multi-task and reprioritize activities with little supervision.

Strongly Desired Technical Qualifications

• Experience with natural language processing (NLP), computer vision, and generative AI (LLMs, OpenAI APIs).
• Proven experience with Agile methodologies (e.g., Scrum, Kanban) and best practices, including application in technical leadership or project management roles.
• Strong background in software development, proficient in multiple programming languages and frameworks (e.g., Java, Python, C#, etc.), including advanced programming skills in Python (with AI/ML libraries), SQL, and Automation tools including the RPA tools.
• Deep understanding of structured governance, quality controls, and risk management in technology delivery, with a focus on data security and compliance for AI software development (including privacy-preserving ML such as differential privacy and federated learning).
• Proven experience with data migration and manipulation of large or ambiguous datasets, including advanced data engineering for AI (labeling, augmentation, and quality validation).
• Broad technical background with a solid grasp of AI system design and architecture, including integration of AI services/APIs (e.g., OpenAI).
• Hands-on expertise in developing, deploying, and maintaining machine learning models (supervised, unsupervised, reinforcement learning) at scale, using deep learning frameworks (TensorFlow, PyTorch, etc.).
• Proficient in model lifecycle management (experiment tracking, versioning, model serving) and AI/ML pipeline orchestration tools (MLflow, Kubeflow, Airflow, etc.).
• Knowledge of platforms like Dataiku, Tableau, Power BI, etc.
• Operational knowledge of Jira, Confluence, Salesforce.
• Knowledge of version control systems like Git, Bitbucket.
• Knowledge of DevOps practices and tools including CI/CD pipelines.

Preferred Technical qualification

• Demonstrated leadership in building end-to-end AI products—from ideation and prototyping to production and maintenance.
• Knowledge of prompt engineering and custom fine-tuning of LLMs (e.g., GPT, Llama).

Preferred Skillsets

• Experience with vector databases for semantic search & RAG.
• Knowledge of graph neural networks, time series forecasting, or multimodal AI.
• Experience with data governance and model risk management in regulated environments.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll 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. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).