Functional ownership in Finance Technology, specifically leading the implementation of Financial and Regulatory reporting functions onto the Corporate Technology Data Lake and leveraging Platform Services / Finance as a Service to perform data management.

More Uses of the Data Lake Toolkit:

  • Ensure your organizations data is centralized into a single Data Lake and modeled to support data analysis requirements from all functional groups of your organization.
  • Make high impact, long term decisions around procurement and deployment of modern cloud data platform solutions (Data Lake, Data Warehousing, Data Governance, Data as a Service, Data Security).
  • Broaden your technical skills and work in an environment that thrives on creativity, efficient execution, and product innovation.
  • Recognize and drive opportunities to lead technical considerations in designing Data Lakes, Data warehouses, IT operations analytics based on Machine learning methodologies, and similar large scale Data products.
  • Oversee: design and implement a program for analyzing complex, large scale data sets used for modeling, data mining, research, and predictive analysis purposes.
  • Manage work with power BI analysts and stakeholders to identify, develop, implement and support projects to build and enhance the data warehouse.
  • Be certain that your organization supports the build, maintenance and enhancements of Data Lake development; supports simple to medium complexity API, unstructured data parsing and streaming data ingestion.
  • Support your existing platform ingest, curation and export of data assets and identify areas for improvement in stability, resiliency, scale or speed.
  • Audit: work closely with solutions architects and product managers to make sure that the technical infrastructure can support client requirements.
  • Set up data consumption patterns and standards for data consumers to ensure data integrity is maintained when data is consumed through Data Lake or MDM API interfaces.
  • Organize: partner with business stakeholders to adapt the Data Lake to meet the needs of business processes, data governance directives, and represent data as recognizable business entities.
  • Secure that your venture develops and maintains controls on data quality, interoperability, and sources to effectively manage risk associated with the use of data and analytics.
  • Perform analytical tasks in a methodical manner on large amounts of structured and unstructured data to extract actionable business insights.
  • Be certain that your design complies; its a groundbreaking change in the way the industry views Cybersecurity as it relates to your cloud environments, one that is necessary in your mission to protect your way of life in the digital age.
  • Drive positive change and build established programs and teams where needed across your organization and build new programs and teams where gaps are identified.
  • Ensure your project oversees the integration and staging of data, and the development and maintenance of the Data Lakes, data warehouse and data marts, for use by analysts throughout your organization.
  • Assure your organization fosters an environment of creativity and innovation, focusing on the empowerment and support of staff through tools and continuous process improvement.
  • Supervise the integration and staging of data, and the development and maintenance of the Data Lakes, data warehouse and data marts, for use by analysts throughout your organization.
  • Methodize: design and develop framework for increasing the overall efficiency of bringing data into the Data Lake, processing and delivery of data; encode best practices into reusable tools that can be shared across the team.
  • Manage work with internal business customers and software development teams to gather and document requirements for data publishing and data consumption via data warehouse, Data Lake, and analytics solutions.
  • Manage multiple resources located in different geographic locations and projects concurrently to ensure successful completion of analytic projects.
  • Ensure you motivate; lead the use of statistical analysis and Machine Learning techniques towards building intelligent and/or predictive analytics solutions.
  • Ensure your corporation complies; previous projects should display technical leadership with an emphasis on Data Lake, data warehouse solutions, business intelligence, big data analytics, enterprise scale custom data products.
  • Be accountable for architecting and implementing ETL and data replication solutions that provide timely and accurate ingestion of data to data warehouses and Data Lakes.
  • Orchestrate: general understanding and wide application of advanced principles, theories, concepts, tools, and techniques in integrating, analyzing, and designing and reporting on large and diverse data sets; data mining; analytics, and statistics.
  • Methodize: implement and oversee data/information governance strategies to ensure trustworthiness in data and information being produced from the Data Lake.
  • Support product management with product feature gap analysis, competitive threats and product launch strategies derived from competitive analysis.
  • Serve as a key member of the Analytics Business Development team focused on helping to drive overall AWS market and technical strategy for Amazon EMR and Data Lakes on AWS.
  • Confirm your venture ensures teams are aligned and committed to broader department level talent objectives; ensures management team actively supports and contributes to talent management initiatives; provides high visibility and support to high potential individuals.
  • Ensure your organizations data is centralized into a single Data Lake and modeled to support data analysis requirements from all functional groups.

 

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