Transaction Lifecycle Management Data Engineering & Quality_Director_Produc at Morgan Stanley

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

09 Feb, 26

Salary

0.0

Posted On

11 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Quality, Transaction Lifecycle Operations, Middle Office Data Processes, Automation, AI, Machine Learning, Data Management, Problem Solving, Analytical Skills, Communication Skills, Collaboration, Data Governance, Operational Excellence, Innovation, Continuous Improvement

Industry

Financial Services

Description

Manage and remediate data quality issues across middle office platforms, ensuring accuracy, timeliness, and completeness of reference and transactional data. Use industry-leading technologies like Alteryx, PowerBI, GenAI, etc., to develop tools for the operations team to pursue automation and enhance efficiency Maintain robust data validation and exception processes with clear monitoring and escalation. Oversee input/output data flows across platforms, collaborating with architecture, design, and control teams to support front-to-back transaction lifecycle processes. Develop and execute functional and outcome-focused data strategies, ensuring data solutions are fit for purpose and aligned with business needs. Provide full transparency into operational data quality, including readiness for downstream use, by implementing tiered monitoring and exception reporting. Enable high-touch data solutions to address complex requirements, supporting the build of more data-enabled workflows and active monitoring. Drive an end-to-end product mindset across the team, ensuring data management processes support seamless trade lifecycle execution. Proactively identify inefficiencies, re-engineer workflows, and apply AI/automation to streamline controls and reduce manual intervention. Develop and operationalize data quality controls and embed them into production workflows. Partner with the enterprise Data Strategy & Governance team to ensure global alignment with data standards, frameworks, and policies. Lead, mentor, and grow a global team, fostering a culture of accountability, innovation, and continuous improvement. Innovation & Automation: Champion the use of AI, machine learning, and reconciliation utilities to streamline operations and reduce manual intervention. 8+ years of experience in Data Engineering, Data Quality, or Transaction Lifecycle Operations within Asset Management, Investment Banking, or related financial institutions. Strong expertise in middle office data processes, including trade, reference, and transactional data management. Proven ability to lead global teams and build a culture of operational excellence and innovation. Experience with data engineering tools, data quality platforms, and reconciliation utilities. Understanding of enterprise data management principles, governance, and regulatory standards. Strong problem-solving and analytical skills, with the ability to identify root causes and design sustainable solutions. Demonstrated track record of applying automation, AI, or machine learning in data workflows. Excellent communication skills with the ability to collaborate across Technology, Operations, and Data Governance. Bachelor's or Master's degree in Computer Science, Engineering, Finance, or related field. 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. 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. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Responsibilities

Manage and remediate data quality issues across middle office platforms, ensuring accuracy, timeliness, and completeness of reference and transactional data. Oversee input/output data flows across platforms and develop functional data strategies aligned with business needs.