Data Engineering & Quality_Director_Product Support & Services IM

We are seeking a strategic, data-driven Middle Office Data Engineering and Quality - Director to lead the build and evolve a best-in-class Data Quality and Engineering function in India. This role sits within the Public Markets Middle Office and is pivotal to ensuring data accuracy, transparency, and operational readiness across the firm's books and records in support of MSIM clients, investment teams and traders, and other essential uses of this data. They must have strong analytical, automation (low code) tooling, pro dev capabilities, and AI strategies and solutions, along with strong interpersonal and communication skills and be able to build and foster relationships at all levels of the firm's, clients', and outsourcing agent's organization.

The successful candidate will be an innovative data science professional, who will develop quality control checks and insights to mitigate data quality issues, identify anomalies in data for research, and continuously improve upon the process to expand across a complex data set. This position will partner closely with the Portfolio Accounting & Recordkeeping Team to establish and evolve the data quality framework and controls to enable timely and quality portfolios investment/performance books and records (IBOR/ABOR) for data consumers.

In the Operations division, we partner with business units across the Firm to support financial transactions, devise and implement effective controls and develop client relationships. This is an Advanced Specialist position at Director level within the Product Support & Services IM, which is responsible for providing transaction support and managing post execution processes.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

• Own data quality framework for books and records (IBOR/ABOR) ensuring accurate and timely capture of portfolio level accounting data across key data sets.
• Develop, maintain, and operationalize data quality controls on portfolio transaction, holding, and valuation datasets.
• Maintain robust data validation and exception monitoring processes to ensure completeness, accuracy, and timeliness of portfolio accounting data.
• Support research and triage of data exceptions, enabling scalable issue identification, mitigation and/or resolution, and escalation.
• Provide high-touch leadership and accountability of complex and sensitive data sets, including those powering performance, reporting, and regulatory processes.
• Ensure proactive, high-quality outcomes for clients and investment teams, and other data consumers of MSIM's books and records.
• Build and implement data-driven platforms, dashboards, and automated controls.
• Deliver and manage KPI dashboards, trend analysis, and exception reporting to senior stakeholders and data governance forums.
• Use industry-leading technologies like Alteryx, PowerBI, GenAI, etc., to develop tools for the operations team to pursue automation and enhance efficiency.

• 7+ years of experience in Investment Operations, Data Management, or Middle Office data and analytics at a global asset manager or financial services firm.
• A strong understanding of data quality principles, including accuracy, completeness, consistency, and timeliness.
• Proficient in data validation, data cleansing, and data governance.
• Experience in investment management across asset classes, products, & vehicles
• Demonstrated understanding of investment and trade lifecycle, with focus on portfolio tax lot level recordkeeping transactions and events
• AI savvy, and experience with leading process improvements and transformation.
• Experience with data quality tools, dashboards, APIs to support real-time data validation and exception handling.
• Strong technology (pro dev and low code) experience, with a track record of developing data-driven platforms, dashboards, and automated controls
• Strong analysis and analytical skills to perform root cause analysis, data lineage, exception handling, and process optimization.
• Demonstrated ability to synthesis data for MI reporting on key performance indicators and other portfolio accounting data as inputs into middle office data health and identifying areas for operational optimization.
• Experience with Data Quality platforms (e.g. PanDQ, Informatica, PEGA Exception Management) & Business Intelligence Tools (e.g. Alteryx, PowerBI, etc.)