Director, Data Strategy and Architecture
CenterSquare Investment Management, Conshohocken, PA, United States
Job Title: Director, Data Strategy and Architecture
Company Overview:
Founded in 1987, CenterSquare Investment Management is an independent, employee-owned real asset manager focused on listed real estate, private equity real estate and private real estate debt. As a trusted fiduciary, our success is firmly rooted in aligning our interests with those of our clients, partners and employees. CenterSquare is headquartered in suburban Philadelphia, with offices in New York, Los Angeles, London and Singapore. With $14 billion in assets under management (September 2025), CenterSquare and its affiliates are proud to manage investments on behalf of some of the world's most well-known institutional and private investors.
Role Summary:
CenterSquare is undertaking a strategic initiative to modernize the research data and analytics platform that underpins our investment research, forecasting, and decision-making processes. The Director, Data Strategy and Architecture will define the firm-wide data strategy and lead the design and implementation of a scalable, well-governed data platform. This platform will integrate internal and external data to provide robust analytical tools, enabling informed investment decisions across the firm's Public and Private Real Estate Platforms.
This role is for a strategic leader who applies deep technical expertise to support and scale investment research and forecasting, and who can navigate ambiguity, prioritize initiatives, and deliver repeatable, reliable outcomes for the firm. The successful candidate brings strong data engineering and quantitative analysis expertise, paired with program management experience and the ability to deliver independently in a high-expectation environment, driving insights that support firm-wide investment decisions.
As CenterSquare's data capabilities continue to expand, this role offers the opportunity for broader responsibilities across the firm's data platform and strategy, including helping build and lead a broader data function over time. The position will be based in CenterSquare's headquarters office located in Conshohocken, PA.
Responsibilities:
Data Platform Architecture and Leadership
Architect and guide the implementation of a modern, scalable, and well-governed data platform supporting macroeconomic, real estate, and proprietary datasets Design scalable ingestion, transformation, and validation pipelines Define data models, architecture standards, lineage, and documentation practices Select appropriate storage and compute technologies Workflow Modernization
Transform Excel-based and legacy workflows into production-grade, platform-supported processes Manage the transition from legacy systems without disrupting active investment processes Introduce versioning, testing, and governance practices to improve reliability and repeatability Program & Stakeholder Management
Serve as the single point of ownership for a multi-phase platform initiative spanning data ingestion, legacy model migration, and analytics enablement Manage dependencies and align priorities across technical and investment teams Provide structured recommendations and informed options to senior leadership Balance short-term delivery needs with long-term architectural integrity Analytics Enablement
Ensure reproducible forecasting, scenario analysis, and reporting workflows are integrated into the platform Build tools that allow non-technical users to confidently leverage interact with core data products Support downstream analytics while maintaining platform integrity Required Qualifications and Experience
10+ years of experience in data architecture, data engineering, or research platform development Undergraduate and/or graduate degree in Computer Science, Applied Math, Engineering, Quantitative Economics or a related quantitative field Experience in investment management, financial research, or real estate Strong proficiency in Python, R, and SQL, with experience building data pipelines, analytics workflows, and data models Experience using AI tools including LLMs and Machine Learning Experience building relational and analytical data models and managing modern data infrastructure. Proven track record of upgrading existing workflows and data solutions to new architectures Excellent communication skills, attention to detail, critical thinking, and work ethic Demonstrated ability to operate independently and manage complex initiatives. What Success Looks Like:
A durable, scalable, and well-documented research data platform integrating internal proprietary data with external datasets Platform and analytics support Public and Private Real Estate teams with timely insights and analysis Investment teams can generate reliable, repeatable, and actionable analytical outputs Improved research capabilities in an upgraded institutional quality data architecture Create standard insightful analytical information as well as special project ad-hoc analysis in a timely manner
NOTE: This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.
We are an equal-opportunity employer and value diversity at our firm. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
No Visa Sponsorship
Company Overview:
Founded in 1987, CenterSquare Investment Management is an independent, employee-owned real asset manager focused on listed real estate, private equity real estate and private real estate debt. As a trusted fiduciary, our success is firmly rooted in aligning our interests with those of our clients, partners and employees. CenterSquare is headquartered in suburban Philadelphia, with offices in New York, Los Angeles, London and Singapore. With $14 billion in assets under management (September 2025), CenterSquare and its affiliates are proud to manage investments on behalf of some of the world's most well-known institutional and private investors.
Role Summary:
CenterSquare is undertaking a strategic initiative to modernize the research data and analytics platform that underpins our investment research, forecasting, and decision-making processes. The Director, Data Strategy and Architecture will define the firm-wide data strategy and lead the design and implementation of a scalable, well-governed data platform. This platform will integrate internal and external data to provide robust analytical tools, enabling informed investment decisions across the firm's Public and Private Real Estate Platforms.
This role is for a strategic leader who applies deep technical expertise to support and scale investment research and forecasting, and who can navigate ambiguity, prioritize initiatives, and deliver repeatable, reliable outcomes for the firm. The successful candidate brings strong data engineering and quantitative analysis expertise, paired with program management experience and the ability to deliver independently in a high-expectation environment, driving insights that support firm-wide investment decisions.
As CenterSquare's data capabilities continue to expand, this role offers the opportunity for broader responsibilities across the firm's data platform and strategy, including helping build and lead a broader data function over time. The position will be based in CenterSquare's headquarters office located in Conshohocken, PA.
Responsibilities:
Data Platform Architecture and Leadership
Architect and guide the implementation of a modern, scalable, and well-governed data platform supporting macroeconomic, real estate, and proprietary datasets Design scalable ingestion, transformation, and validation pipelines Define data models, architecture standards, lineage, and documentation practices Select appropriate storage and compute technologies Workflow Modernization
Transform Excel-based and legacy workflows into production-grade, platform-supported processes Manage the transition from legacy systems without disrupting active investment processes Introduce versioning, testing, and governance practices to improve reliability and repeatability Program & Stakeholder Management
Serve as the single point of ownership for a multi-phase platform initiative spanning data ingestion, legacy model migration, and analytics enablement Manage dependencies and align priorities across technical and investment teams Provide structured recommendations and informed options to senior leadership Balance short-term delivery needs with long-term architectural integrity Analytics Enablement
Ensure reproducible forecasting, scenario analysis, and reporting workflows are integrated into the platform Build tools that allow non-technical users to confidently leverage interact with core data products Support downstream analytics while maintaining platform integrity Required Qualifications and Experience
10+ years of experience in data architecture, data engineering, or research platform development Undergraduate and/or graduate degree in Computer Science, Applied Math, Engineering, Quantitative Economics or a related quantitative field Experience in investment management, financial research, or real estate Strong proficiency in Python, R, and SQL, with experience building data pipelines, analytics workflows, and data models Experience using AI tools including LLMs and Machine Learning Experience building relational and analytical data models and managing modern data infrastructure. Proven track record of upgrading existing workflows and data solutions to new architectures Excellent communication skills, attention to detail, critical thinking, and work ethic Demonstrated ability to operate independently and manage complex initiatives. What Success Looks Like:
A durable, scalable, and well-documented research data platform integrating internal proprietary data with external datasets Platform and analytics support Public and Private Real Estate teams with timely insights and analysis Investment teams can generate reliable, repeatable, and actionable analytical outputs Improved research capabilities in an upgraded institutional quality data architecture Create standard insightful analytical information as well as special project ad-hoc analysis in a timely manner
NOTE: This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.
We are an equal-opportunity employer and value diversity at our firm. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
No Visa Sponsorship