ClarityPay

ClarityPay

Head of Data Strategy / Chief Data Officer Director / VP

New York City · Exec

Sponsorship not specified$175k-$250kDetected 220 days ago
PythonRailsSQLRedshiftAWSCloud PlatformsCI/CDMachine LearningSparkData EngineeringMLOpsLeadershipPublic SpeakingUnderwriting

About the role

  • ClarityPay is undertaking a transformative approach to our data strategy, tech stack, and data products and platforms.
  • This is not a traditional, hands-off executive role.
  • We possess a data infrastructure that requires significant upliftment to meet the demands of our scale.

Responsibilities

  • You will lead the transition from suboptimal legacy systems to a best-in-class cloud environment, ensuring our infrastructure supports hyper-scale analytics and real-time ML inference.
  • Infrastructure Engineering (Hands-on): Architect and implement a robust data lakehouse solution using the AWS ecosystem (S3, Glue, Redshift/Athena), and potentially onboard Databricks.
  • Data Governance & Quality: Establish the "rules of the road." You will implement rigorous data governance standards, ensuring data lineage, security, and quality control are baked into the architecture, not added as an afterthought.
  • Opportunities to grow, lead, and shape the future of consumer finance.
  • MLOps & AIOps Leadership: Build the rails for our models to run on.

Requirements

  • Technical Mastery (AWS): Deep, hands-on experience with AWS Sagemaker, Glue, Lambda, Step Functions, and Redshift.
  • Strong Programming Skills: Proficiency in Python, Spark, Distributing Computing, and SQL is non-negotiable.
  • You must be able to create, maintain, audit code and contribute to the repository when necessary.
  • You enjoy the challenge of taking a "suboptimal" infrastructure and turning it into a competitive advantage.
  • Deep, hands-on experience with AWS Sagemaker, Glue, Lambda, Step Functions, and Redshift.

Nice to have

  • Experience implementing data governance frameworks in a regulated industry (FinTech/Banking) is highly preferred.

Skills

  • Proficiency in Python, Spark, Distributing Computing, and SQL is non-negotiable.
  • Governance Mindset: Experience implementing data governance frameworks in a regulated industry (FinTech/Banking) is highly preferred.
  • What Sets Us Apart:
  • Competitive compensation and equity package.
  • Comprehensive benefits (medical, dental, vision).
  • Collaborative office culture with a strong product mindset.

Compensation

  • $175K - $250K per year, based on experience and qualifications.
  • Please email mj@claritypay.com if you are interested along with a resume.

Benefits

  • We are building a product that reimagines the way merchants serve their customers through embedded financing, and your data strategy will be the engine that powers that vision.
  • You will design the CI/CD pipelines for Machine Learning (using tools like SageMaker), ensuring that our underwriting and operational models can be deployed, monitored, and retrained with minimal friction.
  • MLOps Expertise: Proven experience building Machine Learning Operations pipelines.
  • We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, age, disability, veteran, marital status, or any other legally protected status.

Company info

  • We give businesses and their customers peace of mind by solving complex credit challenges with precision, speed, and intelligence, combining deep expertise with advanced technology, to simplify the experience and deliver better outcomes, every time.
  • We're a fast-growing fintech empowering enterprise merchants with smarter, more adaptive pay-over-time solutions. From point-of-sale financing to "Buy Now, Pay Later" programs and loyalty integrated offers, we're building configurable credit tools that help businesses serve more of their customers.
  • We value teamwork, clarity of purpose, and rigorous attention to data to drive action. We balance speed and excellence to deliver an exceptional customer experience.
  • We're a fast-growing fintech empowering enterprise merchants with smarter, more adaptive pay-over-time solutions.
  • From point-of-sale financing to "Buy Now, Pay Later" programs and loyalty integrated offers, we're building configurable credit tools that help businesses serve more of their customers.
  • We value teamwork, clarity of purpose, and rigorous attention to data to drive action.
  • We balance speed and excellence to deliver an exceptional customer experience.
  • Champion scientific rigor in data-driven decision-making.
  • Work with Operations, Technology, and Product to embed data signals directly into our operational workflows, moving the company from "reporting on the past" to "predicting the future."
  • You will have the unique opportunity to shape the data strategy from the ground up at a company with a very healthy core business and tremendous runway.
  • We are a collaborative team and genuinely enjoy working with each other.
  • You will work side-by-side with the C-Suite to drive the business forward.
  • What We're Looking For

Equal opportunity

  • ClarityPay is an equal opportunity employer.
  • equal opportunity employer.
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This listing is sourced directly from ClarityPay's careers page and normalized into a canonical job model.