Business Intelligence Project Manager

McKesson•Irving, TX

12d

About The Position

The Business Intelligence Project Manager plays a critical role in delivering high‑impact analytics and insights that drive informed decision‑making across the organization. This role blends advanced analytics, business partnership, and project leadership, owning analytical initiatives end‑to‑end—from problem definition and solution design through delivery, adoption, and value realization. The position requires strong technical acumen, the ability to translate complex data into actionable insights, and hands‑on project management responsibilities to ensure analytical solutions are delivered on time, within scope, and aligned to business priorities. Responsible for the development, analysis, and modeling of operational, financial, and organizational data. Applies advanced analytical techniques to solve new and complex business problems, develops innovative strategies, evaluates potential impacts of change, and communicates insights that influence business outcomes. Quantifies performance, assesses risks and opportunities, and supports economic forecasting relevant to the industry and enterprise strategy.

Requirements

Bachelor’s degree or equivalent practical experience.
4+ years of relevant experience in analytics, data science, business intelligence, or a related field.
Demonstrated experience managing analytical projects or workstreams with multiple stakeholders.
Strong experience with BI and analytics tools, including SQL, Python, and Excel.
Hands‑on experience with Tableau and/or Power BI.
Advanced SQL skills for data extraction, transformation, and analysis.
Proficiency using Python and/or R for analytics, automation, or data science applications.
Familiarity with client‑server architecture and RESTful APIs.
Experience with relational and analytical databases such as Snowflake, Oracle, or Postgres (preferred).
Working knowledge of application and data architecture concepts.
Basic familiarity with Linux/bash environments.
Exposure to cloud platforms (Azure, AWS, or GCP) is a plus.
Proven technical project management experience, particularly in analytics or data‑driven environments.
Strong problem‑solving, diagnostic, and troubleshooting skills.
Excellent written and verbal communication skills, with the ability to influence and align diverse stakeholders.
Ability to manage ambiguity, balance multiple priorities, and adapt quickly to changing business needs.

Nice To Haves

Experience with relational and analytical databases such as Snowflake, Oracle, or Postgres (preferred).
Exposure to cloud platforms (Azure, AWS, or GCP) is a plus.

Responsibilities

Lead the definition, design, and execution of analytics solutions for Financial Services & Solutions (FSS), ensuring outcomes are value‑driven and aligned with business objectives.
Develop and deliver new analytical initiatives, including dashboards, reports, and data products, to support stakeholder decision‑making.
Identify, document, and communicate value generation, performance improvements, and opportunities where analytics can drive measurable impact.
Translate complex technical concepts and analytical findings into clear, concise insights for business leaders and senior stakeholders.
Own analytical initiatives from intake through delivery, including project scoping, prioritization, resource planning, risk identification, and timeline management.
Create and maintain project artifacts such as Business Canvases, scope definitions, success metrics, risk assessments, and feedback loops.
Act as a delivery lead and Scrum facilitator, planning sprint sessions, coordinating work across analytics and development teams, and ensuring alignment with senior business partners.
Track execution progress, proactively surface risks or issues, and drive resolution to keep initiatives on track.
Oversee testing, UAT, validation, deployment, and post‑release support, ensuring solutions meet business requirements and quality standards.
Serve as the primary point of contact between business stakeholders and technical/development teams.
Partner closely with senior business leaders to understand priorities and adapt plans as needs evolve.
Advocate for structured reviews of completed work, ensuring stakeholder feedback is incorporated and expectations are met.