3 Data Expertise Jobs

Come build at the intersection of AI and fintech. At Ocrolus, we're on a mission to help lenders automate workflows with confidence, streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions. Our AI-powered data and analytics platform is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management and provide expanded access to credit, ultimately creating a more inclusive financial system. We are seeking a seasoned and visionary Product Manager to lead the strategy and execution for our core technical platform and data infrastructure. This is a critical, high-impact role responsible for building the foundational services that empower our engineering and product teams to innovate and deliver value to our customers at scale. You will be the voice of our internal developers and platform consumers, defining the roadmap for everything from our IDP microservices architecture to our data pipelines and analytics platforms. As the Product Manager for Tech Platform & Data, you will own the "product" that our engineers and business verticals use every day. Your primary goal is to enhance data processing, developer velocity, system reliability, and data accessibility across the organization. You will define and articulate a clear, long-term vision and strategy for our technical platform and data products. You will partner closely with senior engineering leaders, architects, and data scientist/ML engineers to make critical architectural and technical design decisions. Translation of complex technical requirements into clear product requirement documents (PRDs), epics, and user stories will be essential, and you will need to ruthlessly prioritize features, enhancements, and technical debt using data-driven frameworks. Acting as the central point of contact between platform engineering teams and their internal customers, you will communicate roadmaps, manage dependencies, and ensure alignment across teams. Championing the "Data as a Product" mindset, you will oversee the entire lifecycle of our data assets, including data ingestion, capture/extraction, transformation, storage, governance, quality, and accessibility for analytics and machine learning. Defining and analyzing key performance indicators (KPIs) to measure the health and success of the platform, such as system uptime, developer deployment frequency, API latency, and data quality scores will also be part of your responsibilities. The ideal candidate should possess 4+ years of product management or engineering experience, with 3+ years focused specifically on technical, infrastructure, or data platform products. Deep technical acumen with a strong understanding of cloud infrastructure (AWS, GCP, or Azure), microservices architecture, APIs, containerization (Docker, Kubernetes), and CI/CD pipelines is essential. Data expertise in modern data stacks, including data warehousing (e.g., Snowflake, BigQuery), data pipelines (e.g., Airflow, dbt), and business intelligence tools, along with proficiency in SQL, is a must. Exceptional communication skills are required to translate complex technical concepts into clear, concise language for both technical and non-technical audiences. Proven leadership abilities to lead and influence cross-functional teams without direct authority and experience mentoring other product managers are advantageous. A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience as a software engineer or technical architect is highly preferred, with fintech and enterprise startup experience being desirable. A typical day might include leading a backlog grooming session with your core platform engineering team, writing a PRD for a new agentic chat logging service, collaborating with an application PM to understand their future platform needs, analyzing platform usage metrics in a data dashboard to identify adoption trends, and presenting your quarterly roadmap to executive leadership. Additionally, you may deep-dive with a site reliability engineer (SRE) to triage a production incident and identify long-term solutions. Life at Ocrolus is centered around four core values: Empathy - Understand and serve with compassion; Curiosity - Explore new ideas and question the status quo; Humility - Listen, be grounded, and remain open-minded; Ownership - Love what you do, work hard, and deliver excellence. The company is committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic. Ocrolus offers a fast-growing, remote-first environment where individuals can grow their skills, take ownership of their work, and make a meaningful impact.,

The company, Epsilon, which is a key player within Publicis Groupe, specializes in interaction management. Epsilon's primary focus lies in enabling brands to elevate standard customer interactions to significant and personalized human experiences. By offering a comprehensive range of products and services, Epsilon seamlessly integrates cutting-edge identity management, robust data solutions, and technological proficiency with extensive brand knowledge accumulated over fifty years of collaboration with leading industry names. Epsilon's approach, which combines human intuition with data-driven strategies, provides unparalleled reach, depth, and scope, enabling brands to translate meaningful human connections into outstanding business results.,

As an Operations Business Analyst at Lam in the Global Products Group, you will be dedicated to excellence in the design and engineering of etch and deposition products. Your role will involve driving innovation to tackle the semiconductor industry's biggest challenges by spearheading process improvement initiatives. Utilizing your data expertise, you will collect and analyze data using various Business Intelligence (BI) tools and apps to develop metrics and identify root causes with data-driven indicators for future enhancements. Leading cross-functional project teams, you will communicate team progress and share best practices, highlighting your commitment to operational excellence at Lam. To excel in this role, you should have a minimum of 8 years of related experience with a Bachelor's degree, or 6 years with a Master's degree, or a PhD with 3 years of experience, or equivalent qualifications. At Lam, we value diversity and believe in creating an inclusive environment where every individual is empowered to reach their full potential. By fostering a culture that brings together unique perspectives, we achieve extraordinary outcomes. Lam provides various work location models to suit the needs of each role. Our hybrid roles offer the advantages of on-site collaboration while providing the flexibility to work remotely. You may fall into one of two categories: On-site Flex, where you work 3+ days per week on-site at a Lam or customer/supplier location, with the option to work remotely for the remainder of the week; or Virtual Flex, where you work 1-2 days per week on-site and the rest of the time remotely.,