Lead Data Engineer

Key Responsibilities

• Lead role where the position defines and oversees how the organization captures, maintains, and applies data and information in order to support key business processes.
• Implement the strategic direction for building data management programs and optimizing how the organization uses data both internally and externally.
• Evaluate data that recognizes trends, calling insights, and making recommendations to the executive leadership team to make recommendations to define business strategy.
• Develop the data strategy and vision for building the analytic ecosystem to evaluate, acquire, integrate, and consume data that drive insights.
• Define cloud strategy and lead cross-disciplinary teams to design and implement a scalable future state analytical platform architecture.
• Assists with the development of strategies and coordinates the implementation that support the Organization's development plans and that capture new opportunities.
• Partner cohesively with the broader Insights leaders across campus concerning the alignment capabilities.
• Oversee the implementation of analytic methodologies including segmentation, predictive modeling, advanced statistical methods, regression, experimental design, etc.
• Lead and own the interaction with campus technical support staff and customers to provide reliable services.
• Proposes and leads analytics and organization intelligence initiatives in the Data and Analytics area.
• Defines appropriate analytical models necessary to support use cases and leverages the power of predictive insights and analytics.
• Defines and enables teams to implement augmented intelligence and machine learning algorithms and models for efficient processing and delivery of analytics.

Knowledge, Skills & Abilities

• Advanced skills in strategic planning, analytical and holistic problem-solving, project management, effective communication and coordination of internal and external resources
• Strong interpersonal, communication, organization and planning skills
• Ability to understand complex challenges and lead teams of technologists to deploy appropriate technological solutions that meet campus vision and mission
• Advanced technical knowledge in IT systems and emerging technology trends and issues
• Ability to synthesize data from multiple sources to address complex business questions
• Advanced knowledge with analytics tools, big data technologies, cloud computing environments, relational database
• Advanced working knowledge in large ERP scale analytics, optimization, business intelligence, and statistics for IT organizations
• Strong ability to provide strategic guidance on emerging technologies to innovate and ensure the SJSU is well-positioned in delivering analytic solutions
• Strong ability to deliver on high-impact analytics projects
• Skilled in recruiting, developing, inspiring, leading a growing team of data analysts.
• Advanced working SQL knowledge and skills working with relational databases like Oracle, query authoring (SQL), as well as, working familiarity with a variety of databases
• Expert knowledge in high level programming languages like : Python, SQL, Java, and JavaScript
• Advanced knowledge in application architectures on public cloud platform such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or IBM Cloud Pak
• Advanced knowledge of enterprise data architecture, ETL integration, data warehousing techniques, analytics / end-user reporting tool sets
• Advanced knowledge in Visualization tools like Google Data Studio, Tableau, Looker etc.

Required Qualifications

• A bachelor’s degree, preferably in computer science or business, or equivalent training and applied experience
• Five years of experience in business applications analysis, design, and programming for medium or large scale, multi-programmed computers

Preferred Qualifications

• Master’s in Business Administration, Computer Science or equivalent degree
• 3+ years’ experience leading a team
• 3+ years’ experience developing, maintaining and collecting structured and unstructured data sets for analysis and reporting
• 3+ years advanced analytics experience in support of business strategy.
• 3+ years working experience in implementing public cloud solutions.

Compensation

Classification : Analyst / Programmer - Expert

CSU Salary Range : $7,020 / month - $13,594 / month

San José State University offers employees a comprehensive benefits package typically worth 30-35% of your base salary. For more information on programs available, please see the Employee Benefits Summary .