Senior Technical Manager, Data, Analytics, and AI Solutions

The Senior Technical Manager, Data, Analytics, and AI Solutions is responsible for leading the design, planning, and delivery of data, analytics, reporting, ETL, and AI-enabled solutions. This role partners closely with business stakeholders, technology teams, data engineers, architects, analysts, and leadership to translate business needs into scalable technical solutions that support data-driven decision making. This position requires a strong blend of technical expertise, solution ownership, stakeholder engagement, project intake management, and team leadership. The ideal candidate possesses strong communication skills, deep understanding of data and analytics platforms, experience with ETL and reporting technologies, and the ability to build trusted partnerships across business and IT organizations. The role will serve as a technical leader and solution advisor, managing a team, helping shape data and analytics roadmaps, define phased implementation plans, manage demand intake, and ensure that solutions are aligned to enterprise architecture, business value, and long-term platform strategy.

Responsibilities

Lead the design, planning, and delivery of data, analytics, reporting, ETL, and AI-enabled solutions; Partner closely with business stakeholders, technology teams, data engineers, architects, analysts, and leadership to translate business needs into scalable technical solutions; Act as a trusted technical partner to business stakeholders and technology leaders; Lead technical planning, design, and delivery of data, analytics, reporting, ETL, and AI-related solutions; Lead workshops, stakeholder interviews, and discovery sessions to identify business needs and opportunities; Develop and maintain data, analytics, reporting, ETL, and AI solution roadmaps; Provide technical leadership across ETL, data integration, business intelligence, reporting, and analytics platforms; Support modernization of legacy reporting and data integration environments into cloud-based analytics platforms; Lead or support ETL, reporting, and analytics tool consolidation initiatives; Manage the intake process for data, analytics, reporting, AI, and technology requests; Lead, coach, and develop a team of technical, business, and data analysts

Requirements

Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, Business, or a related field; 7+ years of experience in data, analytics, business intelligence, ETL, reporting, solution delivery, or related technology roles; 3+ years of people leadership or technical team leadership experience; Strong experience conducting requirements gathering and translating business needs into technical requirements; Experience developing roadmaps, phased implementation plans, and technical delivery strategies; Strong understanding of data integration, ETL, data warehousing, data modeling, reporting, dashboards, and analytics platforms; Experience working with business stakeholders and technical teams in a cross-functional environment; Proven ability to manage project intake, prioritize demand, and align work to business value and technical feasibility; Strong communication skills with the ability to explain technical concepts to non-technical audiences; Experience supporting enterprise-scale data and analytics solutions

Nice to have

Experience with Oracle Analytics technologies, including Oracle Analytics Cloud, OBIEE, Oracle BI Applications, Oracle data warehouses, or Oracle semantic/reporting layers; Experience with Azure technologies such as Azure Data Factory, Azure Synapse, Azure Data Lake, Azure Databricks, Azure SQL, Azure AI Services, Microsoft Fabric, and Power BI; Experience with ETL and data integration tools such as Informatica, Microsoft Fabric/Synapse/Data Factory, and Alteryx; Experience with reporting, BI, or ETL tool consolidation initiatives; Experience modernizing legacy reporting platforms and migrating to cloud-based analytics ecosystems; Experience with data governance, metadata management, data quality, master data, and semantic layer design; Certifications in Azure, Power BI, Microsoft Fabric, Oracle, Agile, Scrum, PMP, CBAP, or related disciplines are a plus

Benefits

Annual discretionary bonus; Medical; Dental; Vision; Paid vacation; 401k (up to 4% match); Health Savings Account (with company contribution); Well-being program; Product purchase discounts