Director of Data

Why TrueML? TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions. The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.
About this role:
This is a senior leadership opportunity to own and execute the data vision for TrueML Products. The Director of Engineering, Data will provide strategic and technical leadership for our Data Engineering, Data Science, and Data Services teams. This role is central to our mission and will be responsible for scaling our data infrastructure, enriching our machine learning capabilities, and ensuring the seamless delivery of data-driven products.
You will be the key leader responsible for the entire data lifecycle, from ingestion and transformation to model development and insights generation. By leading and mentoring a talented group of managers and engineers, you will empower the organization to fully leverage its data assets. Your work will be critical to advancing our strategic pillar of "Trusted ML Decisioning & Insights" and will directly impact business outcomes for our clients and their consumers.

Benefits & Perks

• Everything you need to work remotely
• Unlimited PTO
• Medical/dental/vision insurance
• 401k through Charles Schwab 
• Flexible Spending Account, Limited FSA, and Health Savings Account- with an eligible health care package. 
• Company-paid short-term and long-term disability plus basic life insurance.
• Family-friendly maternity and paternity leave
• Employee assistance program (EAP) via Claremont. Get free short-term counseling for mental health, free + discounted legal consultations, free financial consultations, access to work/life consultants, and more!
• PerkSpot discount program. PerkSpot offers exclusive discounts to 900+ merchants nationwide, and has exclusive discounts up to 60% on hotels worldwide.
• Paid time off to do volunteer work in your community.
• Access to the Wellness Coach app for you and 5 family members

Responsibilities

• Define and drive the overarching vision, strategy, and roadmap for TrueML's data platform, encompassing Data Engineering, Data Science, and Data Services.
• Lead, mentor, and grow a high-performing organization of data and engineering professionals, fostering a culture of innovation, collaboration, and execution.
• Provide technical leadership and architectural guidance for data infrastructure, ML model development and deployment, and data delivery systems.
• Collaborate with executive leadership, Product Management, and other Engineering leaders to ensure the data strategy aligns with company objectives and product needs.
• Oversee the development of scalable data pipelines, robust machine learning models, and reliable data services that power our AI-driven products.
• Champion best practices in data governance, data quality, MLOps , and ethical AI across the organization.
• Drive the optimization of key business domains, including Consumer Engagement, Offers & Payments, and the Obligation Lifecycle, through the application of advanced data techniques.
• Communicate strategy, progress, and results effectively to stakeholders at all levels of the organization.
• Stay current with industry trends and advancements in data engineering, data science, and machine learning to ensure TrueML remains at the forefront of innovation.
• Maintain a strong understanding of data privacy regulations
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• Bachelor's degree in a related technical field or equivalent practical experience.
• 12+ years of experience in a data-focused role (Data Engineering, Data Science), including 4+ years in a leadership and people management capacity; including experience managing other managers.
• Proven experience leading multiple technical teams and managing other managers.
• Deep technical expertise in modern data architectures, including data warehousing, ETL/ELT processes, data streaming, and cloud-based data platforms (e.g., AWS, Azure, GCP).
• Strong understanding of the machine learning lifecycle, from conception and model development to deployment and monitoring in a production environment.
• Demonstrated ability to develop and execute a long-term technical strategy that aligns with business goals.
• Proven ability to lead complex, long-term, cross-functional technical initiatives from concept to completion.
• Excellent communication, collaboration, and stakeholder management skills, with the ability to influence and guide teams across the organization.
• A data-driven approach to decision-making, with experience in defining and analyzing performance metrics to measure impact and ROI.
• Experience operating in a fast-paced, agile environment.

We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference. Our Dedication to Diversity & Inclusion TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
For California Applicants: we collect personal information for employment purposes. We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our Privacy Policy.