Analytics Program Manager

Grimes & Company Wealth Management, LLC•Westborough, MA

just now•Hybrid

About The Position

The Analytics Program Manager plays a critical role in building and scaling Grimes’ Data & AI function by overseeing a portfolio of analytics and data platform initiatives aligned to enterprise business objectives. This role is responsible for program-level planning, prioritization, governance, and delivery, while applying strong project management discipline to ensure initiatives are executed effectively, on time, and with clear accountability. Serving as a strategic connector between business leaders, technical teams, and external partners, the Analytics Program Manager manages interdependencies across initiatives, drives execution rigor, and ensures consistent delivery across the data and analytics roadmap. The role blends program leadership with hands-on project management skills, emphasizing outcomes, stakeholder alignment, and operational excellence. NOTE: This is a hybrid position with the candidate expected to report to our headquarters in Westborough, MA

Requirements

5–7 years of experience in analytics program management, project management, or data-focused delivery roles.
Proven experience managing multiple concurrent initiatives while maintaining strong project-level execution.
Demonstrated ability to define scope, manage timelines, track dependencies, and mitigate delivery risks.
Strong organizational and prioritization skills with the ability to manage multiple workstreams simultaneously.
Excellent interpersonal and communication skills, with the ability to interact with senior, non-technical stakeholders and technical teams.
Working knowledge of data warehousing, BI tools (e.g., Tableau), SQL, and analytics concepts.

Nice To Haves

Experience with ETL tools, data modeling, or cloud-based data platforms preferred but not required.
Experience working with Salesforce Financial Services Cloud CRM preferred but not required.

Responsibilities

Own and manage the analytics program roadmap, overseeing multiple, related initiatives across data warehousing, BI reporting, ETL infrastructure, and analytics enablement.
Define program and project-level plans, including scope, milestones, timelines, dependencies, risks, and success metrics.
Apply strong project management practices to drive execution, including task tracking, issue resolution, risk mitigation, and delivery forecasting.
Coordinate and govern interdependent initiatives, ensuring alignment across teams, vendors, and stakeholders.
Lead cross-functional project meetings, status reviews, and planning sessions to maintain momentum and accountability.
Partner with business leaders to translate enterprise needs into prioritized initiatives and executable delivery plans.
Provide clear, executive-ready reporting on program and project status, risks, dependencies, and outcomes.
Oversee analytics and reporting initiatives to ensure solutions meet business requirements, quality standards, and delivery commitments.
Manage rollout and adoption of Data & AI capabilities by coordinating launch plans, training, enablement, and change management activities.
Establish feedback loops and post-implementation reviews to assess results and drive continuous improvement.
Promote best practices in program governance, project delivery standards, documentation, and communication across the Data & AI function.