Director, Data Strategy & Business Applications

Twain Financial Partners

  • Saint Louis
  • 30 days ago

    Highlights

    Analytics & Business Intelligence Rebuild the analytics function to focus on actionable insights (e.g., portfolio risk analysis, tax credit yield optimization, deal pipeline velocity) rather than static operational reports. Strategic Leadership & Governance Draft and own the enterprise Data & Technology Strategy, aligning technical investments with business goals across Renewable Energy, CRE, and Program expertise lines.

    Numbers & Facts

    LocationSaint Louis
    Websitehttps://twainfinancial.com/about-twain/careers/current-open-positions/

    Description

    About Twain Financial Partners
    Twain Financial Partners is an investment firm located in St. Louis, MO, with over $6 billion in assets under management within the public-private partnership sector. The company specializes in tax credit, structured debt, and real estate transactions. Twain collaborates with financial institutions, corporations, and high-net-worth individuals to structure and manage investments that offer both attractive economic returns and social benefits.
     
    We are a diversified financial services firm driving impact across Renewable Energy Financing, Commercial Real Estate, and Government Program Lending. We are seeking a visionary leader to not just manage our technology, but to transform how our company leverages data to compete.
    This is not a traditional IT maintenance role. We need a strategist and a builder who can lead the migration of our core ERP and CRM systems while simultaneously building a modern data governance framework. You will lay the foundation for our future use of data science and AI, moving our culture from reporting to data-driven insights.
     
    Mission & Key Objectives
    • Transform the Foundation: Lead the successful migration and optimization of core business platforms (ERP/CRM) to ensure data integrity and operational efficiency.
    • Build the Data Strategy: Draft and execute a multi-year roadmap that matures the organization from manual data handling to automated, governed, and AI-ready data management.
    • Drive Business Value: Shift the analytics function from backward-looking reporting to forward-looking business intelligence that directly impacts revenue, portfolio risk, and operational costs.
    Core Responsibilities:

    Strategic Leadership & Governance
    • Draft and own the enterprise Data & Technology Strategy, aligning technical investments with business goals across Renewable Energy, CRE, and Program expertise lines.
    • Establish a Data Governance Council to define data ownership, quality standards, and security protocols across the firm.
    • Act as the bridge between technical teams and executive leadership, translating complex data concepts into clear business value propositions.
    Applications & Operations (ERP/CRM)
    • Oversee the end-to-end lifecycle of business applications, with an immediate focus on stabilizing and optimizing the ERP and CRM ecosystems.
    • Lead the migration away from legacy systems/processes, ensuring minimal disruption to deal flow and fund administration.
    • Instill rigorous project management disciplines to ensure technology initiatives are delivered on time, on budget, and with high user adoption.
    Analytics & Business Intelligence
    • Rebuild the analytics function to focus on actionable insights (e.g., portfolio risk analysis, tax credit yield optimization, deal pipeline velocity) rather than static operational reports.
    • Define and track KPIs that hold the technology function accountable to business outcomes (e.g., reduced deal processing time, improved data accuracy).
    • Prepare the organization for future AI/ML capabilities by ensuring data is structured, clean, and accessible.
    Change Management & Culture
    • Drive cultural change to foster a "data-first" mindset among deal teams and asset managers.
    • Build strong relationships with cross-functional to ensure technology solves their specific pain points.
    • Mentor and upskill the existing team, fostering a culture of curiosity, accountability, and high performance.
    Candidate Requirements
    • Experience: 10+ years in Financial Services, Fintech, or Asset Management, with at least 4 years in a leadership role bridging Technology and Business Operations.
    • Transformation Track Record: Proven experience leading complex ERP/CRM implementations and data strategy overhauls in mid-sized or large organizations.
    • AI & Automation Fluency: Demonstrated experience utilizing intelligent automation tools (e.g., Power Automate, Make, Zapier, n8n) and AI productivity solutions to accelerate organizational velocity. You must be AI-literate and capable of identifying opportunities to automate manual workflows.
    • Strategic Vision: Demonstrated ability to write and execute a multi-year strategic roadmap; you can see the "big picture" of how AI and Data Science will reshape financial services.
    • Executive Presence: Exceptional communication skills; able to command a room, influence stakeholders without direct authority, and manage up to the C-Suite.
    • Technical Fluency: Deep understanding of modern data stacks (Cloud Data Warehouses, BI Tools like Power BI/Tableau), CRM (Salesforce/Microsoft Dynamics), and ERP systems.
    • Must be located in or willing to relocate to St. Louis, Missouri
    • Education: Bachelor’s degree required; MBA or Master’s in Data Science / Information Systems highly preferred.
     

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