VP, Data & Content Engineering

Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint™ in hybrid environments—from on-premises to SaaS to containers to cloud.

We’re transforming the software industry.  We’re Flexera.  With more than 50,000 customers across the world, we’re achieving that goal. But we know we can’t do any of that without our team.  Ready to help us re-imagine the industry during a time of substantial growth and ambitious plans?  Come and see why we’re consistently recognized by Gartner, Forrester and IDC as a category leader in the marketplace. Learn more at flexera.com

The VP of Data and Content Engineering will lead Flexera’s data strategy and content management initiatives, driving innovation, excellence, and alignment with the overall company vision. As a key member of the senior leadership team, this role will build and scale a robust data infrastructure, optimize content delivery, and ensure that data capabilities are strategically aligned with Flexera’s long-term business goals. The ideal candidate will bring a customer-focused approach to data engineering and a proven ability to collaborate with cross-functional teams, particularly in product management, to enhance the company’s platform offerings.

Key Responsibilities:

• Develop and execute a comprehensive data and content strategy, aligning with the company's overall strategic goals and the vision of the Flexera One Platform.
• Drive innovative solutions, enabling capabilities to enhance speed to innovation for our data and reference content strategy,
• Define data models and semantic models for our wide range of data sets to provide insights and optimized user experiences.
• Provide guidance, influence and help engineering teams to deliver deep insights from our large and broad data sets.
• Promote a high-standard engineering culture and operational excellence within the team.
• Balance priorities between new feature development, architectural enhancements, and technical debt reduction for a sustainable and scalable platform.
• Collaborate closely with product management to ensure data and content engineering efforts enhance Flexera Technopedia and the broader Technology Intelligence Platform, driving customer value and market differentiation.
• Stay informed on technology trends, AI/ML developments, and industry advancements to continually refine the data and content strategy.
• Work closely with product, design, marketing, and sales teams to drive alignment on key initiatives and ensure successful execution of data-driven enhancements and content solutions.
• Act as a bridge between engineering and product management, incorporating customer feedback and product insights into actionable technical strategies.
• Partner with marketing and sales teams to support go-to-market strategies, including pricing, positioning, and messaging for data and content-related products.
• Conduct market analysis and gather customer insights to identify evolving user needs and inform data and content engineering strategies.
• Translate customer feedback into technical requirements, ensuring Flexera’s data and content solutions address key market challenges and provide clear value to users.
• Establish data governance practices that ensure high standards of data quality, security, and regulatory compliance.
• Lead the design, architecture, and development of scalable data platforms and content management systems, prioritizing performance, fault tolerance, and high availability.
• Drive the adoption of cutting-edge technologies and methodologies in data processing, cloud integration, and content management.
• Oversee the development of scalable and secure data infrastructure, ensuring the platform can support Flexera’s growing user base and complex data needs.
• Build, mentor, and lead a high-performing team of data engineers, data scientists, and content strategists, fostering a culture of collaboration, innovation, and continuous learning.
• Implement best practices for agile development and resource allocation to optimize the team’s effectiveness and adaptability.
• Champion a culture of excellence and accountability within the data and content engineering teams, promoting skill development and career growth opportunities.
• Define and track key performance indicators (KPIs) to measure the success of data and content engineering initiatives, focusing on data quality, system uptime, and user satisfaction.
• Leverage data-driven insights to continuously optimize data and content delivery processes and improve operational efficiency.
• Manage the data and content engineering budget, allocating resources effectively to meet both short-term objectives and long-term strategic goals.

Qualifications:

• Bachelor’s and/or advanced degree in Computer Science, Data Science, Engineering, or a related field; advanced degree preferred.
• 15+ years in data engineering, content management, or a related technical field, with at least 8 years in a leadership role.
• Proven track record of leading large, global engineering teams in a high-growth B2B environment, ideally within SaaS, data platform, or technology-driven industries.
• Experience with data lake and data warehouse technologies, cloud-based data platforms, and advanced analytics (AI/ML).
• Strong technical expertise in data architecture, data modeling, content management systems, and scalable data solutions.
• Exceptional leadership, communication, and collaboration skills, with the ability to influence cross-functional teams and executive leadership.
• Analytical mindset with the ability to translate complex data insights into strategic actions that drive product and business outcomes.
• Strategic thinker with a customer-focused approach to problem-solving and operational efficiency.
• Familiarity with agile development methodologies, data governance standards, and cloud platforms such as AWS, Azure, or Google Cloud Platform.

• Knowledge of industry standards in data security, privacy, and compliance.
• Experience developing data-driven products that enhance user experience and contribute to overall business goals.

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