About the Role

Flex is seeking a Revenue Operations Manager to build, own, and scale the operational backbone for our New Verticals  division — Flex's expansion beyond rent into non-rent split-pay verticals. Reporting to the Head of Revenue Operations, you'll be the first dedicated RevOps hire to support New Verticalsr, responsible for standing up the systems, processes, and data infrastructure that will power this division through its next phase of growth.

New Verticals is exiting its experimental phase with clear product-market signal and aggressive growth targets. You'll work closely with Business Development,Sales and cross-functional leadership to architect the GTM engine from the ground up — Salesforce configuration, pipeline management, routing, reporting, and the full revenue tech stack. This is a build role: you'll define the playbook, not inherit one.

This is an ideal role for someone who thrives in ambiguity, has stood up RevOps infrastructure before, and wants to shape the operational foundation of a high-growth division.

What You'll Do

Systems Architecture & Ownership

• Build and own the Salesforce environment for New Verticals — objects, fields, page layouts, record types, validation rules, flows, and automations tailored to non-rent split-pay sales motions.
• Design and implement revenue tech stack integrations (CRM, enrichment, routing, marketing) to support NV's distinct sales process and team structure.
• Establish system architecture standards, documentation, and governance that can scale as the division grows from a small team to a full GTM org.
• Serve as the primary systems expert for New Verticals — owning troubleshooting, enhancements, and feature requests end-to-end.

Process Design & GTM Enablement

• Architect the  sales process from lead-to-close — stage definitions, pipeline management, forecasting methodology, and deal hygiene standards.
• Design and deploy routing rules, territory logic, and assignment workflows specific to go-to-market motions (biller channel, D2C, consumer cross-sell).
• Partner with Revenue Operations leadership to align on New Verticals  processes with company-wide RevOps standards while accommodating the division's unique needs.
• Build scalable onboarding workflows and enablement materials for new  hires as the team scales rapidly.

Data, Reporting & Analytics

• Define and maintain core operating metrics — TPV, pipeline velocity, conversion rates, and division-specific KPIs.
• Build dashboards and reports that give Revenue team leadership real-time visibility into pipeline health, forecast accuracy, and team performance.
• Ensure data quality and integrity through validation rules, audits, deduplication, and governance practices.
• Partner with Data and BI teams to ensure data flows cleanly into Snowflake and downstream analytics.

Cross-Functional Leadership

• Act as the operational bridge between the team’s Business Development,Sales, Partner Success, and the broader RevOps team.
• Translate business requirements into system design — converting ambiguous asks into reliable, repeatable processes.
• Represent the  operational needs in company-wide RevOps planning, tool evaluations, and architecture decisions.
• As the division scales, help scope and build the New Verticals  RevOps function — contributing to hiring plans, role definitions, and team structure.

Who You Are

Qualifications

• 5+ years of experience in Revenue Operations, Sales Operations, or GTM Operations, with at least 2 years in a senior or lead capacity.
• Deep Salesforce expertise — you've configured and built environments, not just maintained them. Salesforce Administrator Certification preferred.
• Demonstrated experience standing up RevOps infrastructure for a new or rapidly scaling business unit, division, or company.
• Familiarity with GTM systems such as Outreach, LeanData, Clay and  HubSpot Marketing..
• Experience with AI-assisted operational tooling (e.g., Claude, Claude Code) is a plus.

Skills & Attributes

• Builder mentality — you're energized by creating from zero, not just optimizing what exists.
• Strong architectural thinking — you design systems and processes that scale, not just ones that work today.
• Comfort with ambiguity — you can define scope, make tradeoffs, and move forward when the playbook doesn't exist yet.
• Exceptional cross-functional communication — you translate between technical and business stakeholders fluently.
• High ownership and accountability — you treat the division's operational success as your own.
• Detail-oriented execution paired with strategic perspective — you can wire up a validation rule and advise on GTM process design in the same afternoon.

Compensation

Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks.

• Tier 1 (NYC/SF/Seattle): $136,000—$170,000 USD
• Tier 2: $122,400—$153,000USD
• Tier 3 (SLC): $115,600—$144,500 USD

As a Senior Analyst, Analytics engineering, you’ll enable our analytics community to get the most out of our data. You’ll support analysts of varying levels of scope and experience by building, maintaining, and governing a data warehouse of operational and financial data.

You’ll keep us on the cutting edge of AI-driven analytics by partnering with Data Ops to develop a semantic layer and various agents to facilitate faster, better, and more interpretable insights.

We're seeking someone based near one of the following cities: San Francisco, Salt Lake City, Chicago, or New York City.

RESPONSIBILITIES

• Develop and maintain data models in Snowflake with dbt
• Design and build a testing and alerting framework to improve data quality
• Create data governance/democratization policies to support the broader analyst community
• Design and build a self-service analytics AI framework, including both the semantic modeling and tooling architecture

Partner with Data Engineering to optimize data staging in Snowflake

QUALIFICATIONS 

• 4+ years of experience in data engineering, analytics, or data science
• A bachelor’s degree in Computer Science, Information Systems, Statistics, or another quantitative field
• Advanced SQL knowledge (experience with dbt is a plus)
• Moderate Python knowledge (JavaScript knowledge is a plus)
• Experience building complex data pipelines using engineering best practices in platforms like Airflow or Prefect

Strong organizational discipline and quality assurance skills

PERKS & BENEFITS 

• We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
• Mental Health benefits with covered therapy and coaching.
• 401(k) program to help you invest in your future.
• Education & learning stipend for personal growth and development.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.
• Work from home stipend to help you succeed in a remote environment.

The annual salary hiring range for this position is $120,000 - $145,000 USD. 

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

#LI-NK1

This position does not offer visa sponsorship now or in the future.

We’re looking for an Analytics & Business Intelligence, AVP to measurably drive growth for our Operations and Investment Management (OIPM) group at iCapital.

This role involves defining and calculating operational KPIs, transforming raw source data into processed business data, creating live dashboards to monitor performance, identifying driver metrics and statistical correlations, and finally working with business teams to enable data-driven change.

You will sit in the Analytics group of the broader Data & Analytics team within Technology, and will work closely with our Data Engineering group. Although you are initially expected to be an individual contributor, the role would eventually entail managing a team of 1-3 direct reports.

On the technical side, you will interface with our data stack of Airbyte, Snowflake, dbt, Prefect, Python and Tableau (among others). On the business side, you will work with our operations teams to produce management visibility, efficiency improvements and workflow automation.

Ideal candidates will be highly proficient in our technical tooling, understand complex business problems, interface with senior stakeholders, develop execution plans, and finally present on their work.

Responsibilities:

• Write SQL within dbt to extract, transform, validate, and aggregate data.
• SQL / DBT - 50%; Tableau/PowerBI - 30%; Python - 20%
• Create Tableau dashboards for various business teams, charting key metrics and performing exploratory data analysis
• Monitor and deploy data pipelines into our orchestration infrastructure using Prefect
• Drive projects to completion by gathering business requirements, implementing technical solutions, following software best engineering practices, and finally presenting on results
• Work closely with our engineering, product and business teams to form a thorough understanding of our industry and evolving data model
• Convert data insights into concrete, action-oriented and phased execution plans that measurably grow various business metrics over time

Required Qualifications:

• Bachelor’s degree or higher in Computer Science, Economics, Mathematics, Statistics or a related technical field
• 4 to 8 years of experience in a data-related role
• Excellent writing, communication and presentation skills
• Excellent knowledge of SQL (dbt experienced preferred)
• Good knowledge of a business intelligence tool (e.g. Tableau, Looker, PowerBI)
• Good knowledge of Python, Microsoft Excel and intermediate statistics
• Familiar with data science techniques and machine learning models
• Prior experience with end-to-end project delivery (e.g. requirements gathering, scoping, working within large organizations, presenting on project plans and results)
• Detail-oriented, naturally curious and willing to question to status quo to understand business needs

Preferred Qualifications:

• Prior experience in the financial services and alternative investments
• Prior experience in business analyst and/or project management roles

Benefits

The base salary range for this role is $100,000 to $135,000 depending on level and experience.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

About the Role

iCapital is looking to hire a motivated People Analytics Vice President to join the growing global People team. This individual will sit on the People Operations team and report to the head of HR Operations and Analytics. This role in partnership with the People leadership team will leverage expertise to build, execute, and scale robust People analytics capabilities. The ideal candidate will implement assets such as interactive dashboards and executive presentations, conduct thoughtful data analyses, and provide key workforce insights that drive more impactful people decisions. This role requires an incumbent who is equally adept at technical and functional work, and who possesses a keen design sense to produce board-quality materials.

Responsibilities

• Build a People Analytics infrastructure, with the goal of seamlessly connecting people data across disparate HR systems to enable deeper insights.
• Utilize Tableau to oversee the evaluation, automation, and integration of existing Excel-based HR reporting efforts, such as headcount, hiring plan, and HR Dashboards to streamline data-informed decision making.
• Partner with HR Business Partners to identify key business challenges and apply data science to clarify them, connect data to business outcomes, and communicate insights and opportunities effectively back to stakeholders.
• Co-own, with HR Operations colleagues, responsibility for data optimization and root cause analysis of evolving data challenges.
• Lead the strategic design of people data for the firm and support business system owners with evolving workforce data needs.
• Conduct meetings outside of US working hours, as needed.

Qualifications

• A bachelor’s degree in business analytics, data science, information technology, statistics, human resources or related field
• 5-8 years of experience building an analytics ecosystem and executing a people analytics strategy
• Familiar with human resource management concepts, metrics, and data
• Experience working with tools such as Tableau and Snowflake and other enabling middleware
• Excellent analytical skills and methods to diagnose, cleanse, and transform data
• Awareness of data visualization concepts and user-centric design
• Demonstrated experience managing confidential information with appropriate integrity and discretion
• Presentation skills to distill complex data into essential information for executives using engaging examples
• Experience working in a global team
• Familiar with Dayforce HRIS, Lattice Talent Management, and Greenhouse ATS a plus

Benefits

The base salary range for this role is $165,000 to $180,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

About the Role

iCapital is looking to hire a motivated People Analytics Vice President to join the growing global People team. This individual will sit on the People Operations team and report to the head of HR Operations and Analytics. This role in partnership with the People leadership team will leverage expertise to build, execute, and scale robust People analytics capabilities. The ideal candidate will implement assets such as interactive dashboards and executive presentations, conduct thoughtful data analyses, and provide key workforce insights that drive more impactful people decisions. This role requires an incumbent who is equally adept at technical and functional work, and who possesses a keen design sense to produce board-quality materials.

Responsibilities

• Build a People Analytics infrastructure, with the goal of seamlessly connecting people data across disparate HR systems to enable deeper insights.
• Utilize Tableau to oversee the evaluation, automation, and integration of existing Excel-based HR reporting efforts, such as headcount, hiring plan, and HR Dashboards to streamline data-informed decision making.
• Partner with HR Business Partners to identify key business challenges and apply data science to clarify them, connect data to business outcomes, and communicate insights and opportunities effectively back to stakeholders.
• Co-own, with HR Operations colleagues, responsibility for data optimization and root cause analysis of evolving data challenges.
• Lead the strategic design of people data for the firm and support business system owners with evolving workforce data needs.
• Conduct meetings outside of US working hours, as needed.

Qualifications

• A bachelor’s degree in business analytics, data science, information technology, statistics, human resources or related field
• 5-8+ years of experience building an analytics ecosystem and executing a people analytics strategy
• Familiar with human resource management concepts, metrics, and data
• Experience working with tools such as Tableau and Snowflake and other enabling middleware
• Excellent analytical skills and methods to diagnose, cleanse, and transform data
• Awareness of data visualization concepts and user-centric design
• Demonstrated experience managing confidential information with appropriate integrity and discretion
• Presentation skills to distill complex data into essential information for executives using engaging examples
• Experience working in a global team
• Familiar with Dayforce HRIS, Lattice Talent Management, and Greenhouse ATS a plus

Benefits

The base salary range for this role is $165,000 to $180,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

This position does not offer visa sponsorship now or in the future.

iCapital is seeking an exceptional Data Engineer to help scale the data foundations that power the business. This individual will design, build, and optimize the data pipelines and infrastructure that enable data to be a strategic asset across the organization. This role is highly collaborative and will partner with the Product, Engineering, Analytics teams and business stakeholders to quickly understand evolving challenges and deliver scalable, maintainable, and high‑quality solutions.

Data sits at the core of iCapital’s operations. The firm relies on clean, reliable, well‑structured data to drive decision‑making, enhance client experiences, and support a rapidly growing product suite. This individual will be responsible for moving and transforming data and developing a deep understanding of the business context behind it and help teams act on insights.

Responsibilities

• Develop and automate large scale, high-performance data platform pipelines and infrastructure to drive iCapital business growth and enable data-driven decision making.
• Design and develop reusable components and frameworks for ingestion, cleansing, and data quality.
• Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse.
• Design data models for optimal storage and retrieval that represent the tangible business domains across iCapital’s ecosystem.
• Coordinate closely with the Operations, Sales, and Product Development teams daily to push iCapital’s FinTech strategy and improve the overall profitability of the business.

Qualifications

• 6-10 years of professional experience in a data engineering or data-driven software engineering role
• Exceptional Python and SQL skills
• Extensive experience with orchestration frameworks (Prefect, Airflow, Dagster, etc.)
• Deep understanding of OLAP (Snowflake, Databricks) and OLTP (PostgreSQL, MongoDB) databases and ELT frameworks (dbt, dlthub)
• Experience developing and deploying code to Cloud environments (AWS, GCP, Azure)
• Possess a strong grasp of object-oriented and functional programming and an ability to write easy-to-scale, high-quality code
• Experience leveraging stream processing frameworks (Kafka, Flink, Spark)
• Knowledge of infrastructure-as-code frameworks (terraform or cloud formation)
• Detail-oriented and able to multitask and work in a fast-paced environment
• Able to work independently while also being a strong team player
• Excellent written and verbal communication
• Passionate about learning and mastering cutting-edge technologies
• Professional experience with JVM based languages such as Scala, Java, and Kotlin is preferred
• Knowledge of financial markets and financial instruments is preferred

Benefits

The base salary range for this role is $100,000 to $135,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

About the Role

iCapital is looking to hire a motivated People Analytics Vice President to join the growing global People team. This individual will sit on the People Operations team and report to the head of HR Operations and Analytics. This role in partnership with the People leadership team will leverage expertise to build, execute, and scale robust People analytics capabilities. The ideal candidate will implement assets such as interactive dashboards and executive presentations, conduct thoughtful data analyses, and provide key workforce insights that drive more impactful people decisions. This role requires an incumbent who is equally adept at technical and functional work, and who possesses a keen design sense to produce board-quality materials.

Responsibilities

• Build a People Analytics infrastructure, with the goal of seamlessly connecting people data across disparate HR systems to enable deeper insights.
• Utilize Tableau to oversee the evaluation, automation, and integration of existing Excel-based HR reporting efforts, such as headcount, hiring plan, and HR Dashboards to streamline data-informed decision making.
• Partner with HR Business Partners to identify key business challenges and apply data science to clarify them, connect data to business outcomes, and communicate insights and opportunities effectively back to stakeholders.
• Co-own, with HR Operations colleagues, responsibility for data optimization and root cause analysis of evolving data challenges.
• Lead the strategic design of people data for the firm and support business system owners with evolving workforce data needs.
• Conduct meetings outside of US working hours, as needed.

Qualifications

• A bachelor’s degree in business analytics, data science, information technology, statistics, human resources or related field
• 5-8 years of experience building an analytics ecosystem and executing a people analytics strategy
• Familiar with human resource management concepts, metrics, and data
• Experience working with tools such as Tableau and Snowflake and other enabling middleware
• Excellent analytical skills and methods to diagnose, cleanse, and transform data
• Awareness of data visualization concepts and user-centric design
• Demonstrated experience managing confidential information with appropriate integrity and discretion
• Presentation skills to distill complex data into essential information for executives using engaging examples
• Experience working in a global team
• Familiar with Dayforce HRIS, Lattice Talent Management, and Greenhouse ATS a plus

Benefits

The base salary range for this role is $130,000 to $160,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

The Role

Analytics Engineering at Flex sits at the intersection of Data, Product, Engineering, and business objectives. As Director, Analytics Engineering you will run the team that enables stakeholders at Flex to easily find the data they need to make decisions. You’ll be responsible for developing a world-class analytics platform that powers all data consumption at Flex, as well as managing and developing a team of high-performing Analytics Engineers. You'll also be hands-on, leveraging your technical skills to develop data models and build better data products and solutions. You'll partner with analysts, engineers, PMs and others to define the requirements while being accountable for delivering the end data product.

You Will:

• Develop and lead strategy for data modeling platform and team roadmap
• Manage and mentor a team of Analytics Engineers
• Collaborate with leaders across product & engineering teams to define data requirements and inform architecture/schema design decisions
• Lead the development of data models to consume, transform, and expose data to stakeholders and systems across the company
• Collect business requirements, define successful analytics outcomes, and design data solutions
• Set company-wide standards for data regarding structure, quality, and expectations
• Contribute Flex’s data culture by influencing processes, systems, and tools that enable to make better decisions in a scalable way

You Have:

• 8+ years as an analytics engineer or equivalent, with a track record of shipping high quality products and features at scale
• Expert knowledge of SQL, data warehouses (we use Snowflake), and how to write efficient SQL queries
• Familiarity with common BI tools (preferably Sigma Computing, Tableau, Mode, etc.)
• Expert proficiency with dbt, dbt Cloud, and Airflow
• Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, and best practices for codebase development and CI/CD)
• Proficiency with Python preferred
• Experience within the fintech space preferred

Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area.  

Tier A (NYC/SF/Seattle): $240,000-290,000
Tier B (Austin, Washington D.C. Philadelphia, Los Angeles, San Diego, Chicago, Miami, Atlanta : $215,000-265,000
Tier C (SLC/All Other States): $200,000-250,000

Offices

Roles posted in New York, San Francisco, or Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.

Senior Manager, Data Science

Portfolio Management and Loss Mitigation

The Role: 

SoFi is seeking an inspirational and deeply experienced Senior Manager to lead the Portfolio Management and Loss Mitigation function in our Risk Data Science team. Reporting to the Head of Risk Data Science, this role will lead the development, deployment, and governance of portfolio management and loss mitigation models for all credit products.

The ideal candidate is a hands-on leader who can transition the team from traditional modeling to next-generation machine learning platforms, leveraging emerging data sources (e.g., cash flow, alternative bureaus) to significantly improve portfolio performance, reduce losses, and ensure rigorous adherence to Model Risk Management (MRM) standards. This role requires exceptional organizational leadership, an ability to influence stakeholders, and proven success in delivering complex models into a regulated production environment.

What You'll Do: 

• Portfolio Management and Loss Mitigation Excellence: Directly oversee the development and deployment of Next Generation models designed to manage and mitigate portfolio losses while maintaining loss guardrails.
• Drive Next-Generation Capabilities: Incorporate industry trends and advanced techniques (NLP, Graph Mining, LLMs, Deep Learning) to solve complex, high-impact risk problems where established principles may not fully apply.
• Alternative Data Strategy: Spearhead the evaluation and integration of alternative data sources (Macro-Economic variables, tri-bureau, LexisNexis, cash flow data) to enhance predictive power across all credit products.
• Lead the current team of high-performing Staff and Senior Data Scientists. Recruit, mentor, and foster talent through deliberate interactions, succession planning, and creating a high-accountability, low-ego culture.
• Model Risk Management (MRM): Act as the primary owner for all models in the portfolio, ensuring robust documentation, monitoring, and successfully navigating the 2nd Line of Defense (2LOD) review and approval process (SR 11-7 familiarity is mandatory).
• Stakeholder Alignment: Interact and negotiate with senior management and external stakeholders to reconcile competing views and drive critical, high-impact business decisions.
• Automation and Efficiency: Lead efforts to automate model monitoring and governance processes to create scalable and auditable infrastructure.

What You'll Need:

• Experience: 8+ years of progressive experience in credit risk, modeling, and data science within a regulated financial institution (FinTech, Bank, or similar), with at least 3 years in a people management role, managing technical staff.
• Education: Master’s or Ph.D. degree in a quantitative field (Statistics, Computer Science, Engineering, Operations Research, etc.).
• Technical Acumen: Deep expertise in advanced statistical and machine learning modeling techniques (e.g., Gradient Boosting, Deep Learning, Causal Inference).
• Regulatory Knowledge: Detailed working knowledge of model risk management standards (e.g., SR 11-7) and the ability to operate within a highly regulated environment.
• Tools & Platforms: Expert-level proficiency in Python (PySpark, scikit-learn, TensorFlow/PyTorch) and SQL/data warehouse technologies (e.g., Snowflake, Hive). Familiarity with modern MLOps platforms and cloud computing (AWS).
• 3+ years of progressive people management experience is required, including the ability to recruit, mentor, and foster talent within a team of high-performing Staff and Senior Data Scientists.
• Communication: Ability to distill highly complex analytical concepts into clear, concise, and compelling narratives for non-technical leadership.