VP, Data & Analytics

Job Description

An employer is seeking VP, Data & Analytics for a direct hire opportunity in Beavercreek, OH. The VP, Data & Analytics will lead our organization through a data-driven transformation. This leader will be responsible for building a high-performing data and analytics function, developing a modernized roadmap, and enabling business leaders with actionable insights that drive growth and innovation. This is a pivotal role for a collaborative executive who thrives on establishing a strong foundation, scaling teams, and guiding companies through measurement and digital change. The VP, Data & Analytics will report to the Chief Strategy Officer (CSO) and will play a critical role in supporting enterprise strategic planning, developing board-level insights, and delivering data-driven intelligence that guides enterprise priorities, project tracking, and execution.

• Strategic Leadership & Planning: Define and oversee the enterprise-wide data and analytics initiative in alignment with enterprise objectives and priorities. Partner with CSO on strategic planning measurements, metrics to inform board materials, and enterprise scorecards.

• Data Infrastructure and Governance: Oversee the design and implementation of data platforms, pipelines, and governance frameworks in alignment with defined roadmap. Partner with CIO and technology team to ensure data is accurate, secure, and scalable and to evaluate and implement the right analytical tools.

• Measurement & Insights Delivery: Lead the development of executive dashboards, advanced and predictive analytics, and support senior leadership reporting. Ensure analysis is actionable and directly supports decision-making, enterprise priorities, and project tracking.

• Team Building and Development: Recruit, mentor, and develop high-performing data and analytics team. Build processes that enable scalable delivery of analytical capabilities.

• Stakeholder Engagement and Advisory: Collaborate with senior leadership and business leaders across functions to embed data into decisions, provide forward-looking evidence, and advise on opportunities to leverage data for growth and efficiency.

• Innovation and Transformation: Stay ahead of industry trends in AI, machine learning, and advanced analytics. Introduce new tools and methodologies that transform how the organization uses data to drive differentiation.

• Ensure assigned business units are operating efficiently and reliably, are in compliance with applicable laws, regulations, and rules, have appropriate operating controls to mitigate risk, and are performing at a high level.

• Manages vendor relationships, including:

o Involvement in sourcing, evaluating, and selecting vendors.

o Participation in the negotiating of contracts with potential vendors to ensure optimal pricing and mitigation of third-party risks.

o Ongoing monitoring of vendors (of both performance and reputation) to ensure they provide quality products and services in alignment with organizational goals.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• 12+ total years of experience in data analytics or data science roles, with 5+ years in a senior leadership role.

• Demonstrated success in building and scaling data and analytics teams and leading organizational transformation

• Recent hands on experience

o Deep understanding of data platforms, architecture, and governance (e.g., Snowflake, BigQuery, Databricks, or related).

o Expertise with BI and visualization tools (e.g., Power BI, Tableau, or related).

o Prior experience with programming and statistical languages (e.g., Python, R, SQL) to guide advanced statistics and machine learning projects.

• Knowledge of data governance, regulatory compliance, and risk frameworks.

• Financial Services experience

• Bachelor's degree in economics, Statistics, Mathematics, Computer Science, Data Science or a related field - Awareness of AI/ML technologies and ability to translate them into business applications.

• Advanced degree (MS in Analytics, Statistics or related discipline) preferred.