Apps Dev Tech Sr Lead Analyst - SVP

Job Highlights

Using AI ⚡ to summarize the original job post

Responsibilities

• Client engagement and management, end to end management and delivery of the technology Book Of Work and technology roadmap for the Data and Reporting.
• Influence and negotiate with senior business and technology stakeholders across lines of businesses within Controls Technology
• Provide strategic direction and coordinate with other modules leads for data and reporting integrations and enhancements.
• Lead the implementation of data strategy roadmap for the enterprise data, including data management for our enterprise data, warehouse and advanced data analytics/reporting solutions
• Design, build and maintain batch or real-time data pipelines in data platform.
• Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources.
• Develop ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources.
• Automate data workflows such as data ingestion, aggregation, and ETL processing.
• Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders.
• Partner with data scientists and functional leaders in sales, marketing, and product to deploy machine learning models in production.
• Build, maintain, and deploy data products for analytics and data science teams on data platform
• Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
• Monitor data systems performance and implement optimization strategies.
• Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership.
• Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
• Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
• Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
• Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
• Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
• Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary

Qualifications

Required

• 10 plus years of relevant experience in Data engineering role
• Advanced SQL skills and experience with relational databases and database design
• Strong proficiency in object-oriented languages: Python, PySpark
• Experience working with data ingestion tools such as Talend & Ab Initio
• Experience working with data lakehouse architecture such as Iceberg/Starburst
• Strong proficiency in scripting languages like Bash
• Strong proficiency in data pipeline and workflow management tools
• Strong project management and organizational skills
• Excellent problem-solving, communication, and organizational skills
• Proven ability to work independently and with a team
• Experience in managing and implementing successful projects
• Ability to adjust priorities quickly as circumstances dictate
• Demonstrated leadership and project management skills
• Consistently demonstrates clear and concise written and verbal communication
• Bachelor's degree/University degree or equivalent experience