Pursue a career at the intersection of data, technology, and leadership by exploring IT Development Manager for Data Intelligence Platform jobs. This pivotal role places you at the helm of creating and evolving the sophisticated software engines that power modern data-driven organizations. An IT Development Manager for a Data Intelligence Platform is a strategic leader responsible for the end-to-end technical delivery of platforms that transform raw data into actionable business intelligence. This profession is not just about managing code; it's about architecting the foundational systems that enable data governance, advanced analytics, and AI-driven insights across an entire enterprise. Professionals in this role typically oversee the entire software development lifecycle for the data platform. A core responsibility involves leading and mentoring a team of internal and external developers, fostering a culture of technical excellence and agile practices. They partner closely with Business, Solution, and IT Architects to translate high-level data strategy into a tangible, scalable technical roadmap. This requires defining and enforcing consistent software development guidelines, coding standards, and configuration protocols to ensure the platform's reliability, security, and performance. They are the technical arbiters, assessing customer and business requirements from a technical perspective, providing effort estimations, and guiding the design of prototypes and proof-of-concepts. The day-to-day responsibilities are diverse and demanding. Common duties include steering the technical implementation of platform functionalities, from data ingestion and processing to the exposure of data products via APIs and marketplaces. They take ownership of critical aspects like interface implementation, system integration, and the creation of comprehensive technical documentation and operational support manuals. Furthermore, these managers are deeply involved in DevOps and SRE (Site Reliability Engineering) principles, contributing to sizing, scalability concepts, and disaster recovery plans to ensure the platform meets evolving business demands. To succeed in these jobs, a specific and advanced skill set is required. Employers typically seek candidates with extensive experience in developing Data Management and Analytics applications. A deep understanding of modern data capabilities is non-negotiable, including Data Governance, Data Cataloging, Data Lineage, and the management of Data Products. Technically, proficiency is expected in cloud providers like AWS, Azure, or GCP, alongside databases (SQL and NoSQL), middleware/integration tools (e.g., Kafka), and API management. Familiarity with AI technologies, including Large Language Models (LLMs), is increasingly becoming a standard requirement. Beyond technical prowess, exceptional soft skills are crucial. This includes strong communication and collaboration abilities to bridge the gap between technical teams and business stakeholders, a proactive and experimental mindset for problem-solving, and proven leadership capabilities to inspire and guide a technical team toward a common vision. If you are a leader passionate about harnessing the power of data, these management jobs offer a challenging and rewarding career path.
