Troy Perment

• Engaging with business and technology executives at Fortune 500 companies to develop data-driven business strategy. • Leading the Central U.S. data, analytics and machine learning practice and serving as a leader in the emerging technologies & intelligence practice of +150 engineers. • Partnering with business leaders to understand their customer journeys and data pathing; delivering timely and relevant insights to enable digital transformation and cloud adoption. • Overseeing of planning and execution of self-service analytics data infrastructure roadmap. • Providing strategic guidance, collaborative coordination, creative problem solving and administrative authority necessary to achieve mission-critical reforms and advances in data management. This includes, but is not limited to large-scale data lakes, data warehousing, data analytics, data governance, data security, and data access. • Translating analytic insights into concrete, actionable recommendations for large scale business or product improvement • Providing subject matter expertise in data integration, transformation, visualization, statistical models and analysis, BI technologies and tools, and experimentation design. • Building a large team of technology leaders, data and machine learning engineers and architects, working closely with recruitment and HR on scalable hiring initiatives. We are growing our Americas ETIP delivery team and hiring 100+ consultants across the Americas. This is a great time to join the AWS Professional Services team in a high growth market. Roles here: https://lnkd.in/eeU2Npg

· Defining and driving the enterprise data program vision and analytics strategy. · Reporting to the CIO, helping to drive digital transformation and embed a “follow the data” culture. · Managing a world-class team of data engineers, as well as data scientists and data analysts in building out a “cloud first” enterprise data platform. · Working with executive leaders to understand corporate vision of data needs and usage · Leading and managing data migration teams responsible for moving on-premises data platforms to cloud-based modern data platforms and helping with data center migrations. · Identifying implementation partners, building relationships and managing vendor contracts · Developing the Data Architecture positioning internally and deployment strategy using the Agile methodology · Working with CISO and Privacy & Compliance leaders to develop data protection guidelines and make sure they are part of every solution · Working closely with other technology teams in to identify dependencies and collaboration needs (business applications, dev/ops, digital applications, network, infrastructure, architecture and delivery) · Managing opex and capex budgets (>$2 million) with a focus on ROI. · Architecting the data ingestion & processing (real time, batch, streaming, ELT), data integration (batch, APIs), and data visualization for the enterprise. · Building a Customer Data Platform(CDP) to enable near real-time and location aware marketing and communications to our +30 million guests. Tools: AWS, Databricks, PowerBI, Snowflake, Azure DW, Azure Data Factory, Azure Data Lake & blob storage, Spark, SQL Server, Python, Kafka

· Responsible for setting strategy, and roadmap for enterprise data and data products and decision making on approach to data usage. · Develop, establish and implement data governance policies, using data governance frameworks to manage data assets and customer data use. · Spearheading the enterprise Data Governance initiative to facilitate application development and implementation. · Lead data stewards for clinical data quality, metadata management, and master data management according to HIPAA, PHI & GDPR and the California Consumer Privacy Act (CCPA). · Lead cross-functional teams with direct reports to improve data domain, customer data, business glossary and data dictionary. · Thought leader and trusted advisor to executive level including SVP, VP, and AVP’s due to subject matter expertise in data management, data protection and data governance. · Lead transformation in data management through execution of a Data Governance Framework including Data Governance Council, MDM teams, data stewardship programs. · Lead project teams, working as project manager to execute enterprise wide data initiatives including cloud migration and big data. Tools: Hadoop HDFS, Hive, Pig, Ranger, Atlas, Ambari, Lucidcharts, Paxata, Tibco EBX(Orchestra), Python, Xcode, Swift, Salesforce, Sharepoint, HTML, JSON, Linux.

· Lead enterprise architecture team in implementing business engineering principles and processes for application development. · Responsible for defining enterprise architecture EA data strategy, data platforms and decision making regarding all corporate data. · Devised data strategy using emerging technologies and methodologies– Hadoop HDFS (Hortonworks). · Put in place plans for implementation and maintenance of large scale software systems leveraging project management skills. · Oversee enterprise architecture(EA) implementations to deliver high quality business technology systems and streamline software development. · Manage team of enterprise architects, business system owners work with department heads in solutions architecture. Tools: Hadoop HDFS, Visio, Power Point, MS Project, Lucidcharts

· Develop and maintain sets of architecture solutions and architectural patterns. · Using strategic thinking, develop service oriented architecture(SOA) and standards and advise executive management. · Design technology solutions to support the data strategy. · Create future state diagrams of database systems and data flows including data lineage. · Served as Subject Matter Expert regarding clinical data and metadata management using good communication skills. · Support technology transformation & development of implementation plans by combining business requirements and emerging technology. Tools: SQL Server, Oracle Exadata, Visio, Excel, Word, MS Project, Lucidcharts

· Managed SQL Server data warehouses, data marts and ETL processes to ensure high availability of data for data analysis team. · Managed development of test documentation requirements supporting enterprise data architecture and database management operations. · Design & implement ETL processes to migrate data warehouses. · Write and optimize code to support data strategy. Tools: Microsoft SQL Server, SSIS

· Worked to create data governance policies and metadata management leveraging communication skills. · Design, document, implement data stewardship practices and data management techniques using subject matter expertise. · Extract and reconcile data to develop & implement business rules for data quality and management analytics. · Review and evaluate business initiatives and project activities for compliance with data policy and data quality standards. Tools: Excel, Word, Visio, Power Point

· Guided information technology team using project management skills and problem solving to develop solutions. · Documented and enforced best practices & data management rules. · Adapt business requirements to business technology solutions. Tools: Informatica, Visio, Excel, Word, Visio, Power Point, Data Vault, ERWin, Enterprise Architect, Oracle PL/SQL, AS/400, UML

· Developed and implemented data warehouses and data mart. · Coached technical teams in database management operations. · Performed data analysis discover patterns and understand problems. · Worked in project management and develop scalable data warehouse and reporting system for decision making. Tools: Oracle, MS Access, batch files, SQL query, Toad, PL/SQL, DB2, Polaris, Cognos, Informix, Visual Basic

· Developed reports using Business Objects to report financial, human resource data & KPI's. · Analyzed data & BI reporting requirements & implement them through existing BI architecture. · Developed training material & taught courses in support of business application systems. Tools: Business Objects, VIM, command line, PL/SQL, HTML

· Employed data mining & reporting techniques using Oracle (Toad, PL/SQL), Cognos & database tools. · Conduct user research to facilitate software development and implementation. · Manage projects, served as project manager on mid-sized projects of less than $1mil. Tools: Oracle, Toad, PL/SQL

· Analyze data and processes to make recommendations for process improvement. · Develop reports, stored procedures & queries using SQL Server. · Work in back-end software development on software applications for client decision making. · Design, build & test integration processes with client data feeds including FTP to support business strategy and data strategy connection. Tools: DB2 mainframe, Oracle, XML, SQL Server