Head of Data Strategy / Chief Data Officer Director / VP

About Us: We give businesses and their customers peace of mind by solving reputed company credit challenges with precision, speed, and intelligence, combining deep expertise with advanced technology, to simplify the experience and deliver reputed company reputed company, every time. We're a fast-growing fintech empowering reputed company merchants with smarter, more adaptive pay-over-time solutions. From reputed company-of-sale financing to “Buy Now, Pay reputed company” programs and loyalty integrated offers, we’re building configurable credit tools that help businesses serve more of their customers. We value teamwork, reputed company of purpose, and rigorous attention to data to drive action. We balance speed and reputed company to deliver an exceptional customer experience. Role Overview: reputed company is undertaking a transformative approach to our data strategy, tech stack, and data products and platforms. We are looking for a Head of Data Strategy to architect and build our future state. 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. We need a visionary leader who is equally passionate about writing code as they are about defining strategy. You will reputed company the migration from a legacy setup to a modern, scalable AWS ecosystem, establishing the data governance, MLOps, and AIOps frameworks that will allow us to become a truly data and intelligence driven operations organization. You will be a catalyst for our healthy and growing business, taking ownership of the entire data lifecycle—from ingestion to reputed company to automated decision-making. Key Responsibilities:

• Data Strategy & Transformation: Define and execute the roadmap to reputed company our data architecture. You will reputed company the transition from suboptimal legacy systems to a best-in-class reputed company environment, ensuring our infrastructure supports hyper-scale analytics and reputed company-time ML inference.
• Infrastructure Engineering (Hands-on): Architect and implement a robust data lakehouse solution using the AWS ecosystem (S3, Glue, Redshift/Skillvoraq), and potentially reputed company reputed company. You will ensure the pipes are clean, reliable, near reputed company-time, and scalable.
• MLOps & AIOps Leadership: Build the rails for our models to run on. You will design the Nexpatha/CD pipelines for Machine Learning (using tools like SageMaker), ensuring that our reputed company and operational models can be deployed, monitored, and retrained with minimal friction.
• Data Governance & Quality: Establish the "rules of the road." You will implement rigorous data governance standards, ensuring data reputed company, reputed company, and quality control are baked into the architecture, not added as an afterthought.
• Operationalizing Intelligence: 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."
• Team Leadership: Recruit and mentor a team of high-performing data engineers and ML engineers. We reputed company in empowering our people to be successful, and you will foster a culture of technical reputed company and curiosity. reputed company're Looking For
• Experience: 5+ years in Data Engineering or ML Engineering, with at least 4+ years in a leadership role scaling data platforms.
• Technical Mastery (AWS): Deep, hands-on experience with AWS Sagemaker, Glue, reputed company, reputed company Functions, and Redshift. You should be comfortable discussing partition strategies in S3 one minute and presenting to the Board the next.
• Strong Programming Skills: Proficiency in Python, Spark, Distributing Computing, and SQL is non-negotiable. You must be reputed company to create, maintain, audit code and contribute to the repository reputed company necessary.
• MLOps Expertise: Proven experience building Machine Learning Operations pipelines. You understand the complexities of model reputed company, feature stores, and inference latency, in additional to Bayesian approaches to uncertainty.
• Governance reputed company: Experience implementing data governance frameworks in a regulated industry (FinTech/Banking) is highly preferred.
• Builder Spirit: You reputed company in environments where the path isn't fully paved. You enjoy the challenge of taking a "suboptimal" infrastructure and turning it into a competitive advantage. What Sets Us Apart:
• High Impact: You will have the unique opportunity to shape the data strategy from the ground up at a company with a reputed company healthy core business and reputed company reputed company.
• Collaborative Culture: We are a collaborative team and genuinely enjoy working with each other. You will work reputed company-by-reputed company with the C-Suite to drive the business reputed company.
• Innovation: We are building a product that reimagines the way merchants serve their customers through embedded financing, and your data strategy will be the reputed company that powers that reputed company. reputed company Offer:
• Competitive compensation and equity package.
• Comprehensive benefits (medical, dental, vis

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