Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: As a Senior Compensation Analyst, you will play a key role in shaping SoFi Technologies’ global compensation strategy and programs to attract, retain, and motivate top talent globally. This role will lead our global job architecture, compensation structures, market benchmarking, and broad-based compensation modeling. You will use expert knowledge, market data, trends, technology, and financial analysis to develop compensation frameworks that are competitive, scalable, and aligned with our compensation philosophy. You will be responsible for developing our annual cash and equity guidelines, modeling program budgets, and partnering with Finance on monthly stock-based compensation forecasting and analysis. You will also support the executive compensation function, working closely with the Executive Compensation Lead on Compensation Committee materials, executive compensation programs, and related disclosures. What you’ll do: Broad-Based Strategy & Execution Lead global compensation benchmarking, market pricing, and the development of compensation structures, including base salary ranges, target bonuses, and long-term incentive guidelines. Own and enhance SoFi’s global job architecture, including job families, career levels, job profiles, and related compensation frameworks. Lead job architecture
Jobs in United States
Transformation Analyst in United States
949 active opportunities · Updated October 2026
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Explore current transformation analyst jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.
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About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity You will be a key partner to our General Managers and North America leadership across the Sales and Operations organizations. This is a role with both a strategic and a tactical edge: you’ll drive forecasting, planning, closing the books, and own the day-to-day tasks that keep the business moving. You’ll also play a key role in our AI transformation, working cross-functionally, with our accounting and data analytics teams to design and automate workflows across the enterprise. If you want to work at the cross section of global trade, technology and modern finance you belong here. You Will: Partner with Sales & Operations Leadership: Serve as the strategic finance partner to GMs and NA leadership, monitoring trends, communicating performance, and empowering operators to manage their business with clarity and confidence. Drive Business Outcomes Cross-Functionally: Operate at the intersection of strategy and execution. Translate commercial and operational questions into analysis that drives decisions, and work across teams to unblock bottlenecks and prioritize opportunities by impact. Improve & Automate: Lead process improvements beyond y
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role As a Staff Credit Policy Analyst for Home Loans will lead the design, governance, and continuous evolution of SoFi’s credit policy framework across Conforming, Government (FHA/VA/USDA), Closed-End Seconds (CES), and Portfolio products. This leader will own the strategic direction and operational oversight of credit policy development, ensuring all underwriting criteria are risk-aligned, investor-compliant, and digitally executable. You will serve as a key partner to Risk, Capital Markets, Product, and Operations—driving clarity, consistency, and scalability across all credit decisioning processes. In this role, you will provide strategic oversight of policy research, system automation, and audit readiness while fostering innovation in digital underwriting and credit enablement. What You’ll Do Credit Policy Leadership & Strategy Lead the end-to-end lifecycle of SoFi’s home lending credit policies, ensuring they align with enterprise risk appetite, investor standards, and business objectives. Define and manage the credit policy governance framework, including approval processes, documentation standards, and version control practices. Partner with senior leadership to identify emerging credit risk trends and recommend proactive policy adjustments. Oversee the roadmap for credit automation and deci
itD is seeking a Sr. Sales Compensation Analyst to support the administration, analysis, and continuous improvement of incentive compensation programs for a global sales organization. The ideal candidate will bring strong experience in sales compensation administration and analysis, exceptional attention to detail, and a track record of accurately managing complex compensation processes in a fast-paced environment. Location: Fully Remote — Anywhere in the United States We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities: Calculate and administer incentive compensation accurately and timely for a global sales organization. Partner with Sales Operations to process compensation credit adjustments, retroactive changes, and related inquiries. Analyze and resolve commission questions while providing reporting and ad hoc analytical support. Streamline, automate, and continuously improve end-to-end sales compensation processes. Partner with Sales Operations to maintain and deploy annual compensation plans across global markets. Develop and maintain process documentation while supporting strong internal controls and compliance. Collaborate with internal and external auditors to support control evaluations and audit procedures. Build strong working relationships with Sales, Finance, Accounting, IT, and HR teams while providing responsive support to internal customers. Internal Responsibilities: Attend regular internal practice community meetings. Collaborate with your itD practice team on industry thought leadership. Complete client case studies and learning material (blogs, media material). Build out material to contribute to the Digital Transformation practice. Attend internal itD networking events (in person and virtual). Work with leadership on career fast-track opportunities. Required Qualifications and Ski
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. We are hiring for a leader for the newly forming Detection and Response team at Plaid. Our mission is to protect Plaid's financial infrastructure by detecting and responding to suspicious activity across the company. We are responsible for the entire lifecycle of detection and response, including detection infrastructure, AI triage and response, investigation tooling, Red Teaming, and Fraud Operations. Security is foundational to the trust thousands of businesses and millions of consumers place in Plaid, and we work directly to reduce risks and enable our business to move faster and safer. As the Head of Detection and Response, you will be the founding leader responsible for standing up and evaluating Plaid's detection and response team. You will lead a specialized technical team of analysts and engineers, gain deep experience partnering with the CISO and cross-functional engineering leaders, and build critical security infrastructure at scale. This is a unique leadership opportunity to manage a team that encompasses traditional security operations alongside Red Teaming and Fraud Operations, directly impacting Plaid's security posture and long-term stability. Responsibilities: Form and set up Plaid’
Join a pioneering team at the forefront of financial technology innovation. We are building a cutting-edge, agentic AI platform designed to revolutionize the end-to-end credit risk model development lifecycle. By leveraging the power of Large Language Models (LLMs) and intelligent workflows, we aim to augment our quantitative modelers, dramatically increasing their productivity, enhancing model governance, and accelerating the delivery of critical risk models. We are seeking a senior, hands-on technology leader to drive this transformation. In this role, you will partner directly with quantitative analysts and key stakeholders to shape the most impactful use cases and then lead a team of talented developers to design, build, and deploy the generative AI platform that brings this vision to life. Key Responsibilities Strategic Vision & Stakeholder Partnership: Collaborate closely with quantitative model developers, Model Risk Management (MRM), and business leaders to deeply understand their pain points and translate them into a technical vision and product roadmap. Identify, scope, and prioritize use cases for the agentic workflow platform, ensuring they deliver measurable value and align with strategic objectives. Serve as the primary technical liaison between the engineering team and its users, ensuring a tight feedback loop and continuous alignment. Platform Design & Hands-On Development: Lead the architectural design of a scalable, robust, and secure agentic AI platform, including core components for orchestration, knowledge retrieval (e.g. RAG), and tool integration. Engage in hands-on software development to build foundational components, create proofs-of-concept, and tackle the most complex technical challenges. Design and implement secure integrations with internal data sources, external APIs, and various LLMs, ensuring compliance
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide golden datasets and tooling to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. In addition, Plaid will not be successful if we can't move quickly. We build the data systems and tools that enable everyone at Plaid to be data-driven, making analytics easy, obvious, and proactive across the company. Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to car
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Our Fraud Intelligence team's mission is to turn fraud signals into insight that our EPD teams transform into improvements across Protect, IDV, Signal, and Guaranteed Payments. We believe transaction patterns, device signals, identity linkages, and behavioral data are dramatically underleveraged tools in fraud prevention, and we ground our products in what adversaries are actually doing right now. As the Fraud Intelligence Lead, you will build and run a small, high-leverage team of Fraud Intelligence Analysts (and eventually a Staff Researcher) responsible for live casework across Protect, IDV, and Payments/ACH. You'll operate as a player-coach, hiring and coaching your team while staying close enough to the work to personally pick up casework and SEV response when needed. Responsibilities Team Building & People Leadership Set the casework quality bar: define what rigorous investigation, triage, and reporting look like for the team Coach analysts on investigation technique, pattern synthesis, and translating findings into product/model input Operating Model & Cross-PA Partnership Own coverage allocation across the Protect/IDV and Payments/ACH pods, including flexing assignments as volume shi
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide golden datasets and tooling to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. In addition, Plaid will not be successful if we can't move quickly. We build the data systems and tools that enable everyone at Plaid to be data-driven, making analytics easy, obvious, and proactive across the company. Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownershi
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview of This Role GitLab is seeking a VP of Data and Insights to lead the strategic vision, architecture, and execution of our enterprise data platform and analytics capabilities. Reporting to the CIO, you'll oversee a distributed team spanning data platform and engineering, analytics engineering, data governance, and data analysts embedded across business functions. This role represents a transformational opportunity to move GitLab beyond traditional dashboard development toward a truly AI-enabled, self-service data organization where stakeholders access insights on demand and data analysts focus on high-value strategic w
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview of this role We are seeking a Staff Product Manager to serve as an internal PM embedded within this team. This is not a traditional external-facing product role—it is an internal platform product leadership position. You will own the roadmap for our enterprise systems, act as the strategic voice of the business within engineering, and bring senior product craft to a team of Analysts and engineers who build and operate GitLab's revenue infrastructure. This role is ideal for a seasoned product leader who has deep Quote-to-Cash or Finance domain knowledge, thrives at the intersection of business strategy and techni
About the Team: The IT Project Technology Lead is a strategic professional at the intersection of technology leadership and business impact — a recognized subject matter authority who brings both depth of expertise and the foresight to shape directional decisions that extend well beyond their immediate domain. This is not a role for those who simply manage tasks; it is a role for those who understand how technology, people, and process converge to drive transformation at scale. At Citi, where every system and solution ultimately serves hundreds of millions of customers across more than 160 countries, this individual operates at a level where their technical judgment carries real organizational weight. The successful candidate will work alongside senior project staff, technology architects, infrastructure teams, and client-facing leadership to ensure that complex, high-impact initiatives are delivered with precision, clarity, and strategic intent. They will influence functional decisions through trusted counsel, champion process improvements that raise the performance bar, and serve as a guide and mentor to the analysts and practitioners who look to them for direction. Their work does not stop at execution — it shapes how Citi's technology landscape evolves, how risk is managed with integrity, and how the organization positions itself to meet the demands of an ever-changing global financial environment. Responsibilities: Develops detailed IT work plans, schedules; project estimates, resource plans and status reports. Interfaces with senior project staff and client senior management teams regarding status of projects. Recommends and oversees process improvements. Has considerable business impact through in-depth evaluation of complex business processes, system processes and industry s
The Programmatic Media Group Manager is a highly experienced and influential leader responsible for shaping, executing, and optimizing Citi's programmatic media investments, specifically leading Citi’s programmatic media team. This pivotal role requires over 10 years of progressive experience, demonstrating expert-level, hands-on proficiency in leading media activation platforms, coupled with strategic oversight of technical implementations, advanced optimization methodologies, and rigorous analysis of performance and quality metrics. The incumbent will lead a hands-on-keyboard team, safeguarding Citi’s brand while driving significant business outcomes, managing and mentoring programmatic professionals, and ensuring robust governance and operational excellence. Reporting into the Head of Media Transformation and AdTech, this role is essential in influencing both Citi’s internal approach and the broader industry ecosystem through best-in-class strategic technology partnerships, positioning Citi at the forefront of a privacy-first, opt-in advertising experience. Responsibilities: Strategic Leadership & Team Management: Lead, mentor, and develop a high-performing in-house team of programmatic media analysts and coordinators. Oversee day-to-day operations, foster a culture of continuous learning, ensure high performance, and facilitate career growth for team members. Experience building and scaling an in-house programmatic media team is a significant plus. Advanced Platform Strategy & Execution: Define and lead Citi’s future-proof platform capabilities strategy, identifying, evaluating, and implementing best-in-class solutions for media activation, sophisticated optimization, and robust measurement. Maintain expert-level, hands-on proficiency in leading programmatic buying platforms, including non-negotiable expertise in DV360, to guide advanced campaign architecture, intricate bid strategies, and complex opti
Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational ef
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. Role Summary: This role will lead the data engineering function supporting People Analytics, including AI-assisted workforce analytics on Snowflake. This is a player-coach role requiring hands-on technical leadership plus people leadership, with strong business partnership and the ability to balance speed, quality, governance, and innovation. What you’ll do: Manage and develop data engineers Manage, coach, and grow a team of data engineers. Set expectations for quality, collaboration, delivery, and technical ownership. Create a strong engineering culture where people solve hard problems, move quickly, and enjoy the work. Collaborate with cross-functional teams, such as other data engineers, people analysts, data scientists, and business stakeholders, to translate requirements into production-ready deliverables, and communicate technical trade-offs to non-technical partners. Stay hands on Write and review production code. Lead design reviews, code reviews, and technical problem solving. Step into critical pipelines, models, or AI workflows when needed. Build scalable People data foundations Design and maintain sustainable data models, pipelines, semantic layers, and testing frameworks. Establish team practices for documentation, lineage, data quality, and observability. Own engineering standards Set standard
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