Senior Associate - Data and BI Platform

EXL•New York, NY

2h•$100,000 - $135,000

About The Position

The Senior Associate - Data and BI Platform drives the vision, roadmap, and cross-functional delivery of enterprise data and business intelligence solutions. The role connects product owners, business stakeholders, BI, data engineering, data governance, and application development teams to ensure initiatives are planned, prioritized, and executed. The position combines product thinking, BI expertise, stakeholder management, and program leadership to deliver scalable data products, integrated reporting experiences, and roadmap-driven enhancements aligned with organizational objectives. The role owns the platform roadmap and coordinates delivery across business and technology teams. It supports reporting and dashboard strategy, governance, data quality, adoption of BI tools, and self-service analytics. It also translates requirements into delivery plans, manages release planning and prioritization, and communicates progress, performance, and outcomes to leadership and stakeholders.

Requirements

Bachelor's degree in Information Systems, Data Analytics, Computer Science, Business, or a related field.
7+ years of experience in Data, Analytics, Business Intelligence, Product Management, or Program Management roles.
Experience working with BI and analytics platforms such as Power BI, Tableau, Looker, or similar technologies.
Strong understanding of data warehousing, reporting, analytics, and data engineering concepts.
Proven experience managing cross-functional initiatives involving multiple stakeholder groups.
Experience translating business requirements into prioritized roadmaps and delivery plans.
Strong communication, facilitation, and executive presentation skills.

Nice To Haves

Experience with enterprise data and analytics platforms supporting reporting, insights, and decision-making.
Familiarity with data governance, privacy, compliance, and data stewardship practices.
Experience working in Agile environments using Jira, AWS, or similar tools.
Strong understanding of data modeling, KPI development, and business reporting frameworks.
Experience developing dashboards, scorecards, and self-service analytics solutions.
Relevant certifications in Agile, Project Management, Data Analytics, Cloud, or Business Intelligence platforms.

Responsibilities

Own and maintain the strategic data and BI platform roadmap, defining goals and success metrics and prioritizing initiatives based on business value, stakeholder needs, technical dependencies, and resource capacity.
Lead roadmap reviews and align business, analytics, engineering, and governance teams with reporting requirements and data modernization initiatives.
Coordinate planning, dependency management, and execution tracking across Data Engineering, BI, Data Governance, Product, and Technology teams.
Identify risks, blockers, and competing priorities and drive them to resolution.
Partner with BI Managers and Analytics teams to define reporting and dashboard strategy and prioritize scalable KPI reporting, executive dashboards, self-service analytics, and business insights capabilities.
Promote BI tool adoption, analytics best practices, and data-driven decision-making across the organization.
Collaborate with Data Governance teams on data standards, policies, stewardship, data quality, metadata management, access controls, and compliance requirements.
Drive governance reviews for new data products and reporting use cases, promoting trusted and reliable data.
Liaise between business users and technical delivery teams; gather, validate, and prioritize business requirements and build partnerships across business and technology functions.
Translate business requirements into delivery plans with development and analytics teams, overseeing release planning, backlog management, and prioritization for enhancements, integrations, reports, dashboards, and platform capabilities.
Communicate roadmap progress, platform performance, and upcoming releases to leadership and stakeholders; monitor adoption, usage trends, and business outcomes to improve the platform.