Director, Data Engineering

The Director (M4) provides strategic leadership across multiple teams or disciplines within a business unit integrating operations shaping longrange plans and ensuring execution against organizational goals. This role develops and implements functional or geographic strategies directs crossfunctional teams and deploys resources to meet evolving business needs. It oversees major initiatives operational plans and budgets ensuring alignment with enterprise strategy regulatory expectations and performance objectives. The Director manages complex conflicts leads succession planning and develops highpotential leaders through targeted coaching and mentorship.

Serving as a senior advisor the Director influences decisionmaking across the enterprise and partners with Sr. Directors VPs and business leaders to drive integrated strategic outcomes. The role strengthens governance enhances workflows and champions continuous improvement across operations. It manages external vendors and partners oversees performance appraisals and compensation decisions and ensures teams are structured resourced and aligned to deliver highquality scalable results that advance McKessons longterm objectives.

Key Responsibilities:

• Direct development and execution of functional strategies aligning departmental priorities with enterprise business goals.

• Lead crossfunctional planning and implementation of programs tools and technologies that enhance operational effectiveness.

• Oversee integrated project portfolios collaborating with Sr. Managers and Directors to ensure consistent delivery and risk mitigation.

• Provide leadership for governance activities shaping standards performance measures and compliance expectations across the function.

• Optimize processes operations and service performance through continuous improvement analytics and datadriven decisionmaking.

• Manage budgets forecasts and investment priorities; drive yearoveryear cost improvements and financial stewardship.

• Oversee vendor strategy contract alignment and servicelevel performance serving as relationship owner when required.

• Lead organizational planning workforce design talent development and succession planning across multiple teams.

• Provide changeleadership guidance ensuring communication resource readiness and adoption of transformation initiatives.

• Serve as a thought leader by analyzing trends developing strategic recommendations and advising senior leadership on emerging opportunities.

Minimum Job Qualifications (Knowledge Skills & Abilities):

• Advanced knowledge of functional operations program management governance and strategic planning for largescale enterprise environments.

• Strong understanding of financial management operational controls and performance measurement frameworks.

• Ability to lead multiteam delivery portfolios and consult as a senior adviser to executives peer Directors and crossfunctional leaders.

• Expertise in change leadership organizational design and workforce strategy.

• Advanced communication and executivelevel storytelling skills for presenting insights recommendations and strategic direction.

• Demonstrated ability to influence without authority build partnerships and align diverse stakeholders toward shared goals.

• Strategic and analytical thinking skills to evaluate complex business challenges and guide longterm planning.

• Experience managing vendor ecosystems contract negotiations and servicelevel performance.

• Behavioral proficiency at Director level: Change Advocate (Advanced) Customer & Business Driven (Role Model) Collaboration & Partnership (Role Model) Decision Making (Advanced) Influencing Others (Advanced) Innovative Thinking (Advanced) Oral & Written Communication (Role Model) Servant Leadership (Advanced).

• Ability to drive innovation enterprisewide process improvements and organizational transformation initiatives.

Critical Experience (Knowledge Skills & Abilities):

• Azure Data Platform Mastery - Deep expertise across Azure services (Data Factory Synapse ADLS Event Hubs Cosmos DB etc.)

• Databricks & Lakehouse Engineering - proficiency in Databricks (Delta Lake MLflow streaming/batch unification)

• Modern Data Architecture (Structured Unstructured)

• Distributed Data Processing & Engineering Languages - Hands-on expertise in Python Scala SQL and Spark-based processing combined with infrastructure-as-code practices to drive scalable automated pipelines.

• Enterprise Data Product & Semantic Layer Engineering

Business Experience:

• Bachelors degree or equivalent experience; typically 12 years of professional experience with 4 years of management responsibility.

• Experience directing operations across multiple teams or disciplines and delivering complex crossfunctional initiatives.

• Deep exposure to strategic planning governance structures financial oversight and enterprise program execution.

• Proven ability to manage seniorlevel stakeholders guide organizational change and develop leadership talent pipelines at scale.