Director, Data Analytics

PFS Investment Partners a part of BlackRock is a leading global credit-focused alternative investment manager thatseeksto provide creative capital solutions and generate attractive risk-adjusted returns for our clients. We manage various strategies across the capital structure including privately negotiated senior debt; privately negotiated junior capital solutions in debt preferred and equity formats; liquid credit including syndicated leveraged loans collateralized loanobligationsand high yield bonds; asset-based finance and real estate. The scale and breadth of our platformoffersthe flexibility to invest incompanies large and small through standard or customized solutions. At our core we share a common thread of intellectual rigor and discipline that enables us to create value for our clients.

The IT Data Analytics teamis responsible forsourcing processing distributingdata internally and externally. The team covers data needs across all aspects of investment analysis portfolio management back-office processing investor reporting and regulatory filings. Data Analytics team members collaborate closely with SMEs across Front Office BackOffice Investor Relations Tax Legal Management Company in delivering data reporting and analytics technology solutions.

Position Description

PFSis seeking an Executive Director to lead and expand the firmsIndiabasedData & Analytics organization. This individual willbe responsible forbuilding scaling andmanaging ahighperformingteam inMumbai while driving the firms global data strategy architecture engineering and reporting capabilities.

The Executive Director will partner closely with Portfolio Management Operations Finance Risk Investor Relations Technology leadership and external vendors to deliver missioncritical data products and modernizePFSs enterprise data ecosystem.In addition this role will play a key part in enablingPFSs AI and advanced analytics capabilities by building AIready data foundations supporting generative AI use cases ensuring responsible governed use of AI across the firm.

Responsibilities

Leadership & TeamBuildOut

• Build manage and grow the India Data & Analytics teamestablishingMumbai as a coreglobal delivery hub.

• Drive recruiting onboarding mentoring performance management and leadership development.

• Develop organizational structure operating model and succession planning forIndiabasedteams.

Program Delivery

• Overseeendtoenddelivery ofenterprisegradedata applications including requirements analysis design development testing deployment and ongoing support.

• Deliver analytics and reporting solutions supporting Senior Management Investor Relations Business Development Front Office PMs/Analysts/Traders Risk Operations and Finance.

• Integratethirdpartyplatforms and vendor systems intoPFSs internal data architecture.

• Establish andmaintainstrong relationships with external vendors ensuring effective collaboration service quality and alignment with data strategy.

Strategy & Architecture

• Own the evolution ofPFSs global data architecture ensuring scalability resiliency and alignment with business growth.

• Lead the design and implementation of modern data platforms data pipelines governance frameworks metadata lineage observability and quality controls.

• Drive architectural modernization across Snowflake Azure BI platforms and other data ecosystems.

CrossFunctionalPartnership

• Represent the India Data & Analytics organization incrossfunctionalplanning forums.

• Partner withfronttobackbusiness teams-including Portfolio Management Risk Operations Finance Legal Compliance IR and Technology leadershipto define and execute data needs.

Operational Excellence

• Establish and refine offshoreonshoreworkflowsensuring quality predictability and efficiency.

• Drive continuous improvement through automation best practices and ongoing process optimization.

Candidate Profile

• 12 years of experience in financial services technology with significant leadership responsibilities.

• Deepexpertisein data architecture data engineering and enterprise data warehousing.

• StrongexpertiseinSnowflake AzureSynapseDatabricks or similar cloud data platforms.

• Additionalexperience withCoalesce/DBTAzure Synapse Azure DataFactoryor related technologies.

• Outstanding SQL and data modeling skills; strong understanding of data quality metadata lineage and distributed systems.

• Experience withSigmaMicrosoft BI ecosystem (Power BI SSRS Power Apps)or similar technologies.

• Supportadoptionof generative AI for data exploration analytics and reporting workflows (e.g. natural language querying automated insights narrative reporting).

• Establish governance controls and best practices for AI usage including model inputs data quality explainability lineage and regulatory considerations.

• Collaborate with Technology leadership on evaluation and integration of AI platforms cloud-native AI services and vendor solutions.

• Ensure AI initiatives align withPFSs data security privacy and compliance standards.

• Familiarity withcreditrelatedasset classes (bank loans bonds CLOs credit derivatives FX forwards).

• Proven ability to build and scale offshore/onshore hybrid teams.

• Excellent communication andstakeholdermanagementskills.

• High degreeofprofessionalism integrity and business ethics.

• Prior experience managing vendor relationships and contracts is a plus.

• Bachelorsor mastersdegree in computer science Engineering or related field

• Degree from aTierIengineeringinstitute (IIT / NIT / BITS / equivalent) preferred