Financial Services, Investment Management, Private Equity

Senior Associate, Data Management - Data & Technology Solutions

La JollaOnsiteFull TimeSeniorPosted 1 month ago

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Required skills

data management
data analytics
technology solutions
private markets data
data collection
data ingestion
data validation
data mapping
unstructured data
structured data

Nice to have

proprietary technology platform
SPI by StepStone
automation
analytics
data extraction
classification

Role summary

StepStone's Data Analytics & Technology Solutions (DATS) department seeks a Senior Associate, Data Management. This role is responsible for the integrity of data management processes, including collection, ingestion, validation, and mapping of private markets data. The individual will leverage technology and AI to automate workflows, working closely with engineering, analytics, and product teams. Key responsibilities include establishing data quality controls, governing the data mapping framework, and managing a team of data management professionals, including offshore and vendor resources. The role requires a Bachelor's degree, 5-8+ years of data management experience, direct people management experience, and hands-on experience applying technology and AI to data problems. Proficiency in SQL, data modeling, APIs, and modern data platforms is essential.

We are global private markets specialists delivering tailored investment solutions, advisory services, and impactful, data driven insights to the world’s investors. Leveraging the power of our platform and our peerless intelligence across sectors, strategies, and geographies, we help identify the advantages and the answers our clients need to succeed.

Position Overview:Data Analytics & Technology Solutions (DATS) is StepStone’s unified data analytics and technology department. We build SPI by StepStone, the proprietary technology platform our clients use to navigate private markets, and we deliver the data solutions, automation, and analytics that teams across the firm use every day. The integrity of everything DATS produces depends on the data management processes that sit underneath it.

This role is responsible for the collection, ingestion, validation, and mapping of private markets data across a defined and growing set of business processes within the firm. In private markets, data rarely arrives in a format that is ready to use. This role will be responsible for data processes based on unstructured fund manager documents, structured data in formats that need to be translated into different formats, and direct data collection campaigns. Further, the role will also oversee the consolidation and mapping of data records contained within the proprietary and third-party platforms used across the firm. This individual will maintain an intimate relationship with the data to establish and modernize processes through the strategic use of technology and AI, partnering with engineering, analytics, and product teams across DATS to replace manual effort with scalable, automated workflows while maintaining appropriate human-in-the-loop oversight. The role carries direct management responsibility for a team of data management professionals and oversight of offshore and vendor capacity.

Essential Job Functions:

Owns the end-to-end design, execution, and quality of data management workflows within the team’s scope, from intake and extraction through validation, mapping, and release to downstream systems and clients

Establishes the control framework for data quality: accuracy and completeness standards, automated checks and exception queues, and accountability to defined SLAs

Leads the application of AI and automation across its data management processes, including data extraction, classification, entity resolution, and mapping, while evaluating technologies, designing human-in-the-loop workflows, and measuring accuracy gains and efficiency improvements against manual processes

Assesses current-state workflows to find the root causes of rework and error, and delivers redesigned processes with documented procedures, controls, and measurable throughput gains

Governs the data mapping framework that connects source data to StepStone’s enterprise data model, including taxonomies, entity hierarchies, identifiers, and the processes for proposing, approving, versioning, and maintaining mapping rules

Manages and develops a team across onshore, offshore, and vendor resources. Sets priorities and capacity plans and builds training and quality review programs

Partners with DATS engineering, analytics, and product teams to translate recurring operational pain into platform capability, writing clear requirements and following through to adoption

Serves as the escalation point for data quality issues raised across investment, finance, reporting, and client-facing teams, driving resolution to root cause rather than symptom

Defines, tracks, and reports operational KPIs across volume, cycle time, quality, cost, and automation, using performance trends to determine where the team should focus its next investments and improvement efforts

Education and/or Work Experience Requirements:

Bachelor's degree in a relevant field

5 to 8+ years in data management, investment operations, or a comparable data-intensive function, preferably within private markets or alternative asset management

Demonstrated experience designing and implementing data workflows at scale, with a track record of specific processes automated and the gains that resulted

Direct people management experience, including managing offshore or vendor delivery

Hands-on experience applying technology (and ideally AI) to operational data problems, including document extraction, data classification, mapping, and quality controls to ensure reliability

Working knowledge of private markets data, including fund structures, cash flows, performance reporting, and portfolio company financials

Required Knowledge, Skills, and Abilities:

Process design skills, including the ability to look at a manual workflow, see the version that should exist, and build the plan to get there

Genuine technical fluency with the ability to read and write SQL, reason about data models and APIs, work with modern data platforms (e.g., Snowflake, Power BI, Power Platform), and hold a credible conversation with engineers

Practical command of the current AI tooling landscape and honest judgment about where it is reliable enough to put in front of client-facing data

Exceptional attention to detail, paired with the discipline to build controls that catch errors systematically rather than relying on individual vigilance

Strong analytical and critical thinking skills; able to structure ambiguous problems and cut through to root causes

Clear written and interpersonal communication, with the ability to represent the function credibly with senior stakeholders

Ability to work independently and perform under deadlines in a dynamic environment

Salary: $130,000

The salary is an estimate of pay for this position. Actual pay may vary depending on job-related factors that can include location, education, skill, and experience. The salary does not include any benefits or other forms of possible compensation that may be available to employees.

At StepStone, we believe that our people are our most important asset and crucial to our success. We are an Equal Opportunity Employer that strives to create an environment that empowers our employees and allows them to be heard, regardless of title or tenure. Our organizational community features multiple Employment Resource Groups as well as mentorship programs to enhance the employee experience for all.

As an Equal Opportunity Employer, StepStone does not discriminate on the basis of race, creed, color, religion, sex, national origin, citizenship status, age, disability, marital status, sexual orientation, gender identity, gender expression, genetic information or any other characteristic protected by law.

Candidates must be at least 18 years old to apply.

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Senior Associate, Data Management - Data & Technology Solutions

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