Vice President, Director of Data & Infrastructure

Methods+Mastery has an immediate opening for a talented, experienced Vice President, Director of Data & Infrastructure. In this senior leadership role within our Insights & Analytics team, you will act as the vital bridge between our data engineers, analysts, and Fortune 50 clients. We are looking for an entrepreneurial, naturally curious leader who can architect modern data environments and seamlessly translate complex infrastructure, AI opportunities, and technical concepts into impactful business intelligence and clear, layman's terms for client stakeholders. The goal for this role is to create new intelligence offerings for our clients and to make current offerings more efficient, scaled, automated, and accurate. Our team is growing at an amazing rate, and this is an opportunity to produce work for top clients in an entrepreneurial and collaborative environment that values team above all. We do great work – and hire only great people, too. Methods+Mastery is actively committed to increasing our team’s diversity, aggressively eliminating systemic barriers to equity, and fostering a culture where different backgrounds and perspectives are respected and celebrated. We firmly believe a team of many diverse perspectives not only makes Methods+Mastery a better place to work, it is also critically important for producing creative and thoughtful work that represents the world we live in. To that end, we strongly encourage applications from women, people of color, members of the LGBTQ+ community, veterans, individuals with disabilities, and neurodivergent people. The anticipated salary range for this position is $107,000-165,000. Salary is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. A range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits also are available. Key Responsibilities 1. Client Leadership & Strategic Communication Bridge Technical & Business Realities: Act as the primary technical translator, communicating highly technical infrastructure capabilities, AI-driven offerings, or automated pipelines into clear business outcomes and financial impacts for non-technical clients. Consultative Advisory: Consult clients with a strong POV on the marketing intelligence and data infrastructure industries, guiding them through trends, data maturity mapping, and best practices. Strategic Delivery: Lead client briefs from start to finish, developing data methodologies, managing project scopes, timelines, and budgets, and delivering clear, concise business intelligence. Discovery and Assessment: Evaluate clients' needs and infrastructure landscapes by leading data audits to make recommendations for structuring data extraction, cleaning, storage, and delivery approaches. Future-State Architecture: Work alongside analyst teams to design data infrastructures that use agency processes as a baseline and also flex to meet the bespoke needs of each client. AI & Automation Readiness: Help scale data offerings and approaches beyond small-scale testing into production-level workflows, supporting regular intelligence reporting for clients. , Create an approach that is flexible enough to use both traditional BI tools and workflows required to feed modern machine learning models and autonomous agents. 3. Team Leadership & Technical Enablement People Management & Mentorship: Lead, manage, and mentor junior and mid-level analysts and engineering teams, developing robust internal training modules and enforcing industry best practices. Cross-Functional Collaboration: Serve as a decisive partner and liaison across all internal and external parties, including clients, data vendors, creative staff, strategists, and operations teams. Client Offboarding & Change Management: Ensure long-term client success by overseeing technical enablement, building architecture documentation, and training client and internal teams to read new dashboards and query new databases. Qualifications Must-Haves: Experience: 10+ years of total experience gained in digital marketing analytics, data engineering, or data infrastructure management. Consulting & Scoping Skills: Proven ability to scope high-intensity projects, interpret client business needs, and craft tailored proposals inclusive of team roles, methodologies, and budgets. Analytical & Technical Command: Expertise in analyzing and interpreting data from core client databases and standard marketing intelligence tools (e.g., Brandwatch, Netbase Quid, Talkwalker, Sprinklr), alongside advanced scripting capabilities for data automation. Data Storytelling: Exceptional ability to spot data patterns quickly and distill complex technical data into concise stories, visualizations, scorecards, and executive-ready dashboards. Communication: Elite verbal and written communication skills to effectively align and build trust with both deeply technical engineering teams and non-technical stakeholders. Nice-to-Haves: AI/MLOps Infrastructure: Experience with model deployment tools (Docker, Kubernetes), CI/CD for machine learning (DVC), AI workflow frameworks (LangChain, LlamaIndex), or Algorithmic Governance and Explainability (XAI). Cloud & Infrastructure as Code (IaC): Hands-on experience setting up cloud sandboxes/proof of concepts and provisioning via IaC. Dashboarding & Web Analytics: Experience with tools such as Tableau, Google Looker Studio, Power BI, Google Analytics, and the broader Google Cloud Platform suite. Media & Consumer Intelligence: Experience with media monitoring tools (Onclusive, Zignal, Newswhip), real-time listening for crisis management, or consumer profiling tools (YouGov, MRI Simmons, GlobalWebIndex). Process Automation: Knowledge of enterprise automation tools such as Microsoft Power Automate, Apps Script, and Google Cloud Workflows. #J-18808-Ljbffr Methods+Mastery