Muzammil H Syed
Director, Data Engineering & Architecture, Enterprise Information Management @NASCO
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WORK HISTORY
Director, Data Engineering & Architecture, Enterprise Information Management @NASCO
Naperville, IL, US
Managing IT staff to ensure uninterrupted IT network support at maximum performance.• Partner with DW/BI Architecture and Tool & Standard teams to design and develop data extract and data transfer frameworks. • Working jointly with business stakeholders/leaders to understand requirements and align technical solutions.• Experience working with cross-functionally with internal and external groups providing data to determine best process to transfer data and handle change requests, including design, development and implementation of new requirements.• Supervise and motivate the Data Delivery Team to excel at the highest level.• Identify and leverage opportunities to continually improve the quality of the data management systems, processes and standards.• Extensive experience with Implements, controls and compliance measures to reduce data issues and improve data quality. • Partner with broader Data Warehouse and Business Intelligence Group to ensure expectations are aligned within DW/BI and across the overall effort. • Maintained and communicated deployment schedules and establish clear and efficient task scheduling.• Oversee preparation of deployment documentation including configuration items.• Proven expertise extracting data from various sources ranging from RDBMS like Teradata, Oracle, MS SQL Server, DB2 and Flat Files to loading data into data marts and data warehouse.• Involved in every phase of the life cycle development including feasibility studies, design and coding for large and medium business intelligence projects and continually provided value-added services to the clients.• Manage enterprise systems related maintenance such as systems upgrades, patching, health monitoring, license management, hardware/software asset management, and software distribution
EDUCATION
Stratford University
Masters, Information Systems
SKILLS
ABOUT MUZAMMIL H SYED
Director of Data & AI Engineering and Platform Strategy with deep experience leading enterprise-scale data, analytics, and AI transformations in regulated industries. Currently responsible for end-to-end data and AI enablement, including cloud data platform strategy, data engineering, AI/ML enablement, data management, and enterprise data and AI governance.Proven track record of modernizing legacy data ecosystems, building scalable cloud-native data platforms, and enabling advanced analytics and AI use cases while ensuring strong governance, security, and compliance. Adept at translating business strategy into executable data and AI roadmaps, aligning technology investments with measurable outcomes, and partnering with executive leadership, product, and engineering teams.Responsible for building high-performing teams, establishing pragmatic governance frameworks, and delivering platforms that accelerate time to value for analytics, AI, and digital products.Core Areas of Leadership & Expertise -• Data & AI Engineering (Batch, Streaming, Real-Time)• Cloud Data Platforms Modernization (AWS, Databricks, Managed PaaS)• Enterprise Data Platform Strategy & Architecture• AI/ML Enablement & AI Governance• Data Management, Quality, Metadata, and Lineage • Data & AI Governance, Risk, and Compliance (incl. regulated environments) • Legacy Modernization and Mainframe Data Enablement• Data Product Enablement and Self-Service Analytics• Vendor Strategy, Platform Selection, and Cost Optimization • Building and Leading High-Performing Data & AI TeamsCurrent Role Description - • Lead enterprise data and AI engineering, cloud data platform strategy, and data modernization initiatives supporting analytics, AI, and digital products. • Own the design and execution of scalable, cloud-native data platforms enabling batch, streaming, and real-time data use cases.• Drive AI enablement across the organization, including data readiness, platform capabilities, and responsible AIG frameworks. • Establish and operationalize enterprise data management and data & AI governance standards, balancing innovation with security, risk, and compliance.• Partner with executive leadership, product, and engineering teams to translate business priorities into data and AI roadmaps with clear outcomes. • Modernize legacy data environments, unlocking previously inaccessible data and reducing dependency on tribal knowledge. • Build, mentor, and scale high-performing data engineering, platform, and architecture teams.
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