Data Analytics Architecture & Engineering Manager

About the position

The IT Data and Analytics Architecture and Engineering Manager will be accountable for supporting the strategic leadership of the company’s data and analytics program, including business intelligence. This role will report directly to the Director, IT Data & Analytics and provide hands-on expertise on cloud data warehousing, as well as guidance and mentoring to existing and new Data & Analytics team members. In addition, this role will work closely with senior business & technology leaders to help define and execute the vision, strategies, and goals for the Data & Analytics program.

Responsibilities

• Support efforts to move our Oracle ERP on-Prem to a cloud-based ERP.
• Work with functional users to understand business requirements and translate functional need into a working IT solution leveraging the Data Analytics and/or RPA tools available.
• Execute data-enabled strategies & enabling business outcomes through business intelligence & analytics.
• Lead business intelligence integration activities to align KPI’s and master data with corporate reporting requirements.
• Help shape and execute against the Data & Analytics roadmap aligned with the business objectives.
• Manage the expansion of Integer’s Data & Analytics Platform (Cloud Datawarehouse using Snowflake) which supports multiple business functions.
• Provide data management expertise to internal clients in evaluating requirements and developing data architecture and BI solution design.
• Support the governance of data used for reporting / analysis; Help organize and lead a data and analytics governance council with representation of all business units & functions.
• Coach D&A development team in newer technologies and concepts.
• Define and implement strategies, practices and technologies for the integration and staging of data, development and maintenance of data lakes, data warehouses and data marts.
• Participate in steering committees to review reporting project requests from functional teams.
• Define, manage, and ensure an adequate information trust model, controls for master data and metadata management.
• Expand the organization’s data and technology offerings, especially in emerging analytical approaches.
• Foster the creation of a data-driven culture, related competencies, and data literacy across the enterprise.
• Identify new types and sources of data to enable business innovation throughout the organization.
• Act as right hand to the Director of Data Analytics in the elaboration and execution of AI strategy and policies.

Requirements

• Bachelor’s Degree in computer science, data science, information systems or business administration.
• 10+ years IT experience within a comparably sized or larger multi-national company.
• 5-7 years’ experience establishing and/or leading a data analytics / business intelligence program, particularly in a manufacturing / operational setting.
• Broad, applied experience in multiple competency areas of data and analytics delivery including Cloud data warehousing (Snowflake), data Ingestion (ETL/ELT tools), business intelligence (BI), data governance, data architecture, data integration, data classification, data strategy, data quality management, data security and privacy, MDM, data standards, regulatory compliance, and enterprise architecture frameworks.
• Experience in vendor negotiation and management for software development and services.
• Demonstrated ability in taking ownership and driving results.
• Experience in working with C level executive business leaders to understand business models, strategies and priorities.
• Experience in a regulatory setting is desirable.
• Experience with Oracle products such as EBS (Oracle ERP), BICS / OACS is welcomed, but not mandatory.

Nice-to-haves

• Experience in working effectively with business functional teams, remote development teams, and cloud hosted or SaaS vendors and partners.
• Proven expertise for maximizing the value of enterprise information assets and of the analytics used to render insights for strategic and tactical business opportunities and decision making.