Manager, Data Visualization Platforms

The Hershey Company•Dallas, TX

1d•Onsite

About The Position

The Manager of Data Visualization Platforms is responsible for Hershey’s visualization ecosystem as an enterprise platform. This includes ensuring Power BI and governed reporting layers are reliable, scalable, secure, and aligned with data governance and enterprise standards. The role views visualization as a mission-critical capability, serving as the primary interface between enterprise data investments and business decision-making. The Manager is accountable for platform standards, performance, access models, and operational health, with a focus on reducing risk, fragmentation, and report sprawl. The position requires close partnership with Data Platform, Data Products, Governance, Security, and GCC delivery teams to drive consistency, trust, and maximize ROI from Hershey’s data ecosystem.

Requirements

Experience owning and operating enterprise visualization platforms, balancing KTLO, Grow, and Transform priorities.
Strong fluency in visualization platforms (e.g., Power BI), semantic models, governance, security, and access patterns.
Ability to use platform health, usage, and risk metrics to drive reliability, scalability, and improvement.
Proven capability to communicate platform direction, risks, and trade-offs to senior business and technology leaders.
Demonstrated success leading through influence across Data Platform, Products, Governance, Security, GCC, and business teams.
Bachelor’s degree in Information Technology, Data/Analytics, Computer Science, or a related technical field.
6–10 years of experience in enterprise data, analytics, or visualization platform roles, with 2-3+ years owning platform strategy, operations, or cross-functional delivery in a large enterprise environment.

Nice To Haves

Master’s degree is a plus.
Relevant platform or analytics certifications (e.g., Power BI, Tableau, data governance, cloud or analytics platforms) are beneficial.

Responsibilities

Define and evolve the enterprise visualization platform strategy, including standards, patterns, tooling direction, and guardrails across Power BI and governed reporting layers, aligned to Enterprise Data priorities and business needs.
Own platform health, usage, and performance outcomes by defining KPIs for adoption, reliability, security, and scalability; ensure visualization capabilities translate enterprise data investments into trusted business value.
Partner with senior business, data, and technology leaders to guide visualization strategy, communicate platform direction and trade-offs, and represent visualization impacts in enterprise roadmaps and investment decisions.
Proactively identify and manage visualization platform risks, including access, refresh, performance, and report sprawl; enforce standards and mitigation plans in partnership with Governance, Security, and Data Platform teams.
Coordinate GCC, vendor, and federated delivery teams to ensure visualization work aligns to enterprise standards, priorities, and operational expectations across KTLO, Grow, and Transform initiatives.
Establish and mature operating rhythms, playbooks, monitoring dashboards, and escalation models to ensure consistent platform execution, transparency, and continuous improvement.
Deliver executive-level dashboards and operational insights that monitor visualization platform health, adoption, performance, security, and risk, enabling transparency into reliability, usage, and enterprise impact.
Plan and manage visualization platform capacity across KTLO, Grow, and Transform work; partner with Data Products, GCC, and business leaders to anticipate demand, manage scale, and prevent performance or access bottlenecks.
Evaluate emerging visualization capabilities, features, and tooling options; introduce platform enhancements and standards that improve performance, usability, governance alignment, and analytics consumption at scale.
Define and mature enterprise standards, operating models, workflows, and governance mechanisms for visualization platforms, ensuring consistent execution, reduced fragmentation, and sustained trust across the reporting ecosystem.