Director of Data Intelligence & Data Analytics
Kforce has a client that is seeking a Director of Data Intelligence and Analytics in Phoenix, AZ (Hybrid: 3 Days Onsite/2 Days Remote). Overview: A rapidly growing financial technology company in the Phoenix area is seeking a Director of Data Intelligence and Analytics to lead the evolution of its data and software capabilities. This strategic, high visibility role blends technology leadership, modern architecture, and enterprise transformation. As a senior technology leader, you will define and guide the organization's strategy for modern data and software platforms, ensuring all initiatives directly support business objectives. You will architect secure, scalable systems built on modern technologies-such as .NET, Python, Azure, and cloud native patterns including microservices, API first development, and real time data processing-to accelerate digital transformation across the enterprise. You will lead efforts in Agile delivery, DevOps, CI/CD, and engineering best practices, enabling faster execution, greater reliability, and a culture of continuous improvement. Your leadership will drive cloud migrations, legacy modernization, automation initiatives, and the adoption of next generation data capabilities. In this position, you will design and oversee cutting edge data architectures that power high volume data pipelines, real time insights, and advanced analytics. These platforms will support AI/ML, predictive modeling, and intelligent automation that strengthen decision making and enhance the customer experience. Leveraging tools such as Microsoft SQL, PostgreSQL, Tableau, Power BI, R, and Python, you will help the organization translate data into actionable business outcomes. You will mentor and develop cross functional engineering teams, fostering a culture of innovation, collaboration, and continuous learning. You will also oversee program execution-including vendor management, budgeting, and resource planning.
- Ability to obtain FINRA Series 7 within the first 12 months of employment
- Proven experience leading data driven initiatives that deliver measurable business results
- Comfortable operating in fast paced environments and passionate about the transformative power of AI, machine learning, and real time analytics
- Exceptional communication skills, with the ability to bridge technical and executive audiences
- Commitment to fostering a culture of innovation, experimentation, and continuous improvement
- Deep experience designing scalable, secure, and modern software systems using technologies such as .NET, Python, Azure, and cloud native architectures (e.g., microservices, API first design, real time data processing)
- Proven ability to architect and deliver modern data platforms, including high volume data pipelines, real time analytics, and advanced data modeling
- Knowledge with SQL and NoSQL databases (Microsoft SQL, PostgreSQL) and data visualization/analytics tools such as Tableau, Power BI, R, and Python
- Strong understanding of AI/ML concepts, predictive analytics, and intelligent automation technologies
- Demonstrated success leading Agile, DevOps, and CI/CD practices to accelerate software delivery and improve engineering quality
- Experience driving cloud migrations, legacy modernization, and enterprise-wide digital transformation initiatives
- Ability to manage full program lifecycles including planning, execution, governance, vendor management, and budget/resource oversight
- Proven leadership experience guiding and mentoring cross functional teams of software engineers, data engineers, and technical specialists
- Ability to translate complex technical concepts into business value for senior leadership and non-technical stakeholders
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