Senior Director, Data Strategy (Personalization)
Job Description
- Leads cross-functional engagements and ensures cohesive delivery across competencies
- Conducts data strategy programming, including assessing data signals, KPI setting, ecosystem and readiness assessments, co-innovation studio sessions, roadmapping deliverables, and value creation cycles
- Assesses client data maturity, understands stakeholder needs, facilitates prioritization, and coordinates a strategic data and agile roadmap of program activities
- Provides perspectives on necessary data advancement recommendations, including data warehousing, modeling, engineering, business intelligence, or other data activities to support business outcomes
- Works with delivery pods (channel owners, competencies, functional teams) to harmonize activities and deliverables across the co-innovation program, translating business objectives into activities & marketing objectives, ideating on innovation and outlining the tactics necessary to achieve results
- Provides oversight to data & analytics team members on complex, tier 1 accounts
- Uses the results of analysis to communicate program success and persuade account and client stakeholders for expansion and investment, including opportunities for accelerator engagements
- Builds and advances a team with skills and knowledge appropriate to be a trusted advisor to help clients see a clear path to overcome their challenges
- Maintains subject matter expertise as platforms evolve, including leading development of playbooks and documentation for scaling solutions
- Collaborates with internal marketing team on strategic collateral, collaborative case studies, and other marketing materials
- Works with CSEs and BD to support pitches for new business or additional follow-on work for clients, especially relating to activation; participates in QBRs as needed
- Engages with Career Coach on OKRs quarterly
- Maintains billable utilization while uncovering additional project opportunities
- 8+ years of relevant work experience in digital, consulting, or analytics
- Functional expertise with digital analytics platforms (Adobe Analytics, Google Analytics)
- Knowledge and familiarity with BI tools such as Tableau or Power BI; SQL a plus
- Familiarity in cloud technologies (Snowflake, AWS, Azure) and their capabilities as they relate to customer, digital, and operational data and digital analytic
- Industry knowledge of the advanced analytics landscape
- Understanding of data governance, compliance, and privacy issues
Date Posted
05/18/2024
Views
1
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