* Responsible to CDO and CTO for providing the vision and design of a green field enterprise level operational and analytics platform.* Lead a mesh team of modelers, analysts and developers to deliver on the design.* Pivotal in selling, demonstrating potential value and getting "buy-in" across the organization.* Designed and built a flexible, cloud native, highly performant streaming first platform featuring... -- Metadata driven (low-code / configuration based) ingestion, transformation and consumption. -- Data versioning synchronized to code - Data becomes a first-class citizen. -- Schema drift capabilities with associated flexible database designs. -- Automated application roll-forward for reprocessing inputs. -- Integrated at the meta-data level with governance tools and processes.* Major Technology on Azure: Kafka (KSQL & Schema Registry), Spark, Kubernetes (AKS), DataBricks, Python, ADLS, DBaaS (Synapse, PostgreSQL/TimeScale, AzureSQL & Synapse).

* Defined a data strategy to move the organization to a data driven, data first stance.* Developed conceptual and reference architectures and worked to get acceptance organization wide.* Defined and evaluated technical capabilities and requirements of a greenfield data pipeline.* Designed multi-cloud, near real-time, event driven data pipeline to support the vision.* Lead a multi-disciplined team to define standards, processes and tools to migrate the organization into a modern data paradigm.* Managed vendor relationships and interfaced with Northwestern legal for tooling contracts.* Major Technology on AWS and IBM: Kafka, NiFi, Attunity-Replication, Spark, Python, Relate-360, On-Prem DB’s (DB2, Netezza, SQLServer & Sybase), Cloud DB's (Cassandra, Redshift & Aurora).

* Designed a data vault and innovative framework that integrated disparate data and meta-data in a form valuable to the data scientists; saving data prep time and allowing concentration on the real value add to the organization.* Ongoing recommendations of software evaluation, best practices and techniques to optimize the data science teams.* Acquired and appraised data on behalf of the data science teams.

* Developed and disseminated strategies and designs to utilize Hadoop to a production level standard – Use cases included; data warehouse augmentation, customer-360, data analytics and active archive.* Engineered a shared service paradigm to drive cost savings from “big data” back into the traditional infrastructure.

* Spearheaded global MDM pilot initiatives for Lat-Am and EMEA.* Designed data sourcing for a customer 360 view using Mongo (“The Wall”).* Delivered enterprise level data warehouses and associated data marts for Health, Insurance, Annuity and Investment products.* Saved several million in fines and brand damage by designing and implementing a corporate death matching process to meet various government settlements.

* Designed integrated client and investment warehouses.* Modernized client matching paradigm.* Provided database design, data modelling, data analysis & performance tuning services.* Designed and built reactive interfaces to external clearing houses for investment feeds.

* Designed compliance management, monitoring and reporting systems for complex taxation audits.* Managed a team of 8 IT and 10 associated business staff.

* Targeted DB2 performance tuning advice to facilitate the national roll-out to the remaining 60% of stores.

* Designed and built nation wide client platform.* Modernized the B2B tax withholding system with banks.* Pioneered the use of DB2 within the organization.* Provided DBA & Data Modelling functions embedded within teams.