Data Analytics Architecture & Engineering Manager

By living according to a common set of values, we create a culture that unifies, embraces the uniqueness we all bring to the company, and positions Integer for long-term success.

At Integer, our values are embedded in everything we do.

Customer

We focus on our customers’ success

Innovation

We create better solutions

Collaboration

We create success together

Inclusion

We always interact with others respectfully

Candor

We are open and honest with one another

Integrity

We do the right things and do things right

Job Summary:

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.  The role will be responsible to:

• 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 

We are seeking a high energy, self-motivated, results-oriented leader, who is comfortable working in a global, team-oriented IT environment and has a proven success record to lead transformational initiatives using Data & Analytics.

Accountabilities & Responsibilities:

• Manage the expansion of Integer’s Data & Analytics Platform (Cloud Datawarehouse using Snowflake) which supports multiple business functions, providing hands-on experience with the utilization of Azure Data Factory (ADF), Snowflake and Microsoft Power BI to support 1000+ users.
• 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, for use throughout the organization
• 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 (robotic process automation, machine learning, artificial intelligence), focusing on digital innovation.
• 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.
• Support efforts to move our Oracle ERP on-Prem to a cloud-based ERP.
• Act as right hand to the Director of Data Analytics in the elaboration and execution of AI strategy and policies.

Education & Experience:

• Bachelor’s Degree in computer science, data science, information systems or business administration
• 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.
• 10+ years IT experience within a comparably sized or larger multi-national company, required
• 5-7 years’ experience establishing and/or leading a data analytics / business intelligence program, particularly in a manufacturing / operational setting   
• Broad, applied experience