Strategic Planning Director
Listed on 2026-01-12
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Security
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Job SummaryCox Automotive is looking for a Strategic Planning Director - Enterprise Data Strategy to play a critical role in shaping and executing enterprise-wide data strategies. This leader will drive high-impact initiatives that align with our corporate objectives and enable smarter, more strategic data utilization across the organization. This role is ideal for someone with a strong foundation in management consulting, business strategy, AI strategy and data-driven decision-making.
As the Director, you will lead the development of enterprise-level data strategies, guide execution across cross‑functional teams, and influence key stakeholders to advance Cox Automotive's data maturity. This position demands a strategic thinker with strong execution skills, analytical depth, and the ability to operate effectively in a complex, fast‑moving environment.
- Strategy Development
- Collaborate with the Senior Director of Enterprise Data Strategy to define, develop, and drive a centralized, forward‑looking data strategy.
- Evaluate enterprise data opportunities to enhance growth, efficiency, and innovation (e.g., AI enablement, data monetization, analytics maturity).
- Develop business‑unit‑level data models, assess maturity, identify gaps, and recommend strategic improvements.
- Monitor and analyze industry trends to keep the strategy aligned with market dynamics and emerging technologies.
- Strategic Execution
- Lead cross‑functional initiatives that bring the enterprise data strategy to life, ensuring alignment with Cox Automotive's overarching business objectives.
- Manage project timelines, deliverables, and outcomes to drive value creation.
- Develop successful metrics and reporting frameworks to track progress and communicate impact to executive stakeholders.
- Tactical Implementation
- Convert strategic visions into actionable plans with clear roadmaps, milestones, and accountability.
- Partner with teams across data governance, analytics, product, engineering, and business units to ensure successful implementation.
- Proactively identify and mitigate execution risks; adjust plans based on changing priorities or feedback.
- Stakeholder Engagement
- Engage with stakeholders at all levels of the organization, from individual contributors to executives.
- Deliver data‑driven recommendations and compelling presentations to influence decisions and gain alignment.
- Build strong relationships to foster cross‑functional collaboration and shared ownership of data initiatives.
- Bachelor's degree in a related discipline and 10 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 8 years' experience; a Ph.D. and 5 years' experience in a related field; or 14 years' experience in a related field in lieu of a degree.
- Demonstrated success working with cross‑functional teams in complex environments.
- Deep analytical and problem‑solving skills, with the ability to translate complex data into clear business insights.
- Excellent verbal and written communication skills; capable of delivering presentations to executive audiences.
- Ability to challenge the status quo respectfully and thoughtfully, using data and sound judgment.
- Strong critical thinking skills; capable of navigating ambiguity and identifying opportunities in evolving contexts.
- Experience influencing senior leaders and working collaboratively across organizational boundaries.
- Strong project management and execution capabilities; able to lead initiatives from strategy through delivery.
- Extensive experience in management consulting is highly preferred, particularly in the areas of enterprise data strategy, digital transformation, or business model innovation.
- Background in high‑growth, fast‑paced, or disruptive industries.
- Passion for storytelling, translating data and insights into clear, persuasive narratives.
- Familiarity with enterprise data governance, data architecture, and data strategy frameworks. Past experience running AI strategy is a plus.
- Proficiency in Microsoft Office, especially…
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