VP, Data Platforms

Tally; San Francisco (CA); Hybrid; USD 240,000 - 270,000; Full time

Benefits offered by this job

Medical, dental, and vision plans

401(k) match

Flexible time-off policies

Paid parental leave

Job summary

Tally is searching for a VP, Data Platforms to lead data strategy, governance, and engineering for the company. This role is crucial in owning the enterprise data frameworks that drive analytics, machine learning, and business intelligence across all departments.

The ideal candidate will have over 13 years of experience in software engineering and experience leading data platforms in cloud environments. This position is located in San Francisco with a hybrid working model.

Qualifications

• 13+ years of software engineering experience, including leading engineering teams.
• 5+ years of experience leading enterprise data platforms in a public cloud.
• Strong knowledge of modern data architectures and governance frameworks.

Responsibilities

• Define and execute strategy for the enterprise data and AI platforms.
• Build self-service analytics capabilities to empower teams.
• Lead high-performing teams in data engineering and governance.

Skills

Software engineering

Data platform management

Team leadership

Cloud technologies

AI and machine learning

Education

Bachelor's degree or higher in relevant field

Tools

Databricks

dbt

Fivetran

Job description

LendingClub (soon to be Happen Bank) is built around a simple purpose: to clear the way to help people turn intention into action, and action into financial progress. That means offering focused products, a frictionless mobile-first experience, and clear terms with no gotchas. Respect and fairness is part of our DNA, and that ideal shapes how we work, how we treat each other, and how we invest in our employees and our community. Join us in using data, bold thinking, and a commitment to innovation to help clear the way for millions of Americans to achieve more.

About the Role

The VP, Data Platforms is responsible for the data platform, infrastructure, governance, and engineering services that power every business at LendingClub—from Marketing, Personal Loans, Deposits, Credit Risk, Fraud, Operations, and Compliance. This leader owns the strategy, architecture, and operation of LendingClub’s enterprise data and AI platforms, ensuring secure, scalable, and reliable capabilities that power analytics, machine learning, operational decisioning, and business intelligence across the company. Driven by LendingClub’s mission of improving the financial health of everyday Americans, this role will deliver the platform capabilities, self‑service tooling, and unified customer data foundation that enable teams to make better decisions faster. The VP will be a champion of a company‑wide data‑first culture, a key shaper of responsible AI adoption in a regulated environment, and an engineering leader who transforms data into a durable enterprise asset.

What You’ll Do

Data Platform Strategy & Architecture

• Define and execute the strategy, architecture, and roadmap for LendingClub’s enterprise data and AI platforms
• Own the customer data foundation, including canonical data models and the Customer Data Platform (CDP), enabling a trusted single source of truth across Marketing, Lending, Credit Risk, Fraud, Operations, and Compliance
• Oversee the end‑to‑end lifecycle of enterprise data, from source‑system ingestion through canonical modeling, certified marts, and BI / AI consumption
• Lead modernization of the data ecosystem while balancing business priorities, platform resiliency, and long‑term scalability
• Build platform capabilities that support analytics, operational decisioning, customer experiences, experimentation, and AI‑powered products

AI & Data Enablement

• Shape LendingClub’s AI strategy from a data platform perspective, including feature stores, model serving, MLOps, and responsible AI adoption in a regulated environment
• Build self‑service analytics and activation capabilities that enable teams to access trusted data without requiring engineering intervention
• Partner with Product, Analytics, and business leaders to translate business needs into scalable platform capabilities
• Enable AI and machine learning teams through robust data, platform, and governance capabilities that accelerate innovation while maintaining compliance and risk standards

Governance, Reliability & Compliance

• Establish enterprise standards for data governance, Critical Data Elements (CDEs), metadata, lineage, quality, privacy, and regulatory compliance
• Lead Data SRE, observability, resiliency, production support, and operational excellence initiatives that ensure secure, reliable, and scalable platform operations
• Ensure platforms meet security, risk management, and regulatory requirements appropriate for a digital bank
• Drive data quality, monitoring, and governance programs that support trusted business and regulatory reporting

Engineering Leadership

• Lead and develop high‑performing teams across Data Engineering, Platform Engineering, Governance & Enablement, ML Platform, and Production Support
• Foster a culture of accountability, innovation, operational excellence, and continuous improvement
• Build organizational capabilities, succession plans, and leadership pipelines that support long‑term growth
• Attract, coach, mentor, and retain exceptional engineering leaders and individual contributors

Business & Executive Partnership

• Partner with executive leadership to align data and AI investments with company strategy and measurable business outcomes
• Manage strategic vendor relationships, platform investments, and technology spend to ensure efficient delivery and responsible economics
• Drive a data‑first culture by enabling teams across the organization to make faster, better‑informed decisions
• Communicate platform strategy, investment priorities, risks, and outcomes to executive leaders, business stakeholders, and regulators

About You

• 13+ years of software engineering experience, including 10+ years leading and developing engineering teams
• 5+ years of experience leading enterprise data platforms, data products, or data engineering organizations in a public cloud environment
• Demonstrated experience building and scaling data platforms that support analytics, machine learning, customer experiences, and operational decision‑making
• Strong understanding of modern data architectures, governance frameworks, observability, metadata management, and AI/ML platforms
• Experience building and operating cloud‑based data ecosystems using technologies such as Databricks, dbt, Fivetran, data catalogs, observability tooling, and modern data governance platforms
• Proven success leading large‑scale platform modernization and cloud transformation initiatives
• Strong knowledge of production operations, reliability engineering, incident management, and platform support models
• Experience partnering with Product, Analytics, Risk, Compliance, and business leaders to deliver enterprise data capabilities
• Strong executive communication skills with the ability to influence business, technology, and regulatory stakeholders
• Demonstrated ability to translate business objectives into platform strategy and measurable outcomes
• Hands‑on familiarity with advanced analytics, machine learning, and data science workflows and the platform requirements they impose
• Experience operating within highly regulated industries such as financial services, healthcare, or similar environments
• Bachelor’s degree or higher; or equivalent combination of education and work experience

Nice to Have

• Experience working in both high‑growth organizations and large‑scale enterprises
• Understanding of consumer financial products, personal financial management, or regulated marketing environments
• Experience leading enterprise AI enablement initiatives and modern data platform transformations
• Experience supporting highly regulated consumer products and operating within complex compliance and governance frameworks

Work Location

San Francisco. The above locations are eligible offices for this role. The locations have been determined to foster in‑person collaboration with this role’s team or the related business lines. We utilize a hybrid work model; our teams are in‑office Tuesdays, Wednesdays, and Thursdays. In‑person attendance is essential for this role’s success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level.

Time Zone Requirements

Primarily PT. While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.

Travel Requirements

As needed travel to LendingClub offices and/or other locations.

Compensation

The target base salary range for this position is 240,000-270,000. The base salary of the role will be determined by job‑related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub’s Total Rewards package. You may also be eligible for long‑term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).

We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time‑off policies for salaried employees, up to 16 weeks paid parental leave and more.

Equal Opportunity Employer

LendingClub is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.

Reasonable Accommodations

We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at [e-mail].