QUALIFICATIONS EDUCATION AND EXPERIENCE:

• Bachelor’s degree in Analytics, Data Science, Marketing, Business, or a related field; advanced degree (MBA, MS, or equivalent) preferred.
• 8-10 years of experience in analytics, data strategy, or personalization with a proven track record of using data to drive impactful decisions.
• 5-7 years of experience managing and developing analytics or cross-functional teams. • Strong understanding of personalization strategies, customer segmentation, and omnichannel marketing.
• Experience leading data strategy initiatives, including designing data infrastructure and ensuring data governance.

TECHNICAL SKILLS:

• Proficiency in analytics platforms (e.g., Google Analytics, Adobe Analytics) and business intelligence tools (e.g., Tableau, Power BI).
• Expertise in data analysis tools such as SQL or Python.
• Knowledge of personalization platforms and technologies (e.g., Adobe Target, Salesforce Interaction Studio, or similar).
• Familiarity with data engineering concepts and tools (e.g., ETL pipelines, cloud data platforms).
• Experience with machine learning techniques and predictive modeling.
• Strong understanding of A/B testing frameworks and advanced statistical analysis.

LEADERSHIP AND COLLABORATION SKILLS:

• Excellent communication skills, with the ability to translate complex data and analytics into actionable insights for non-technical stakeholders.
• Proven ability to work effectively with cross-functional teams and build strong relationships across the organization.
• Strategic thinker with the ability to align data and analytics strategies with business goals and customer needs.
• Collaborative mindset with a passion for driving alignment and shared success across diverse teams.

OTHER SKILLS AND ATTRIBUTES:

• Data-Driven: A relentless focus on using data to guide decision-making and improve outcomes.
• Innovative: A creative thinker who identifies new opportunities to enhance personalization through data and analytics.
• Customer-Centric: Deep understanding of customer behaviors, preferences, and how to translate those into improved experiences.
• Agile: Ability to adapt to a fast-paced, dynamic environment and prioritize competing demands effectively.

• Develop and lead the personalization analytics strategy, ensuring alignment with AT&T’s broader business objectives and personalization vision.
• Identify and implement key metrics and KPIs to measure the effectiveness and ROI of personalization initiatives across channels and customer segments.
• Establish a robust process for continuous improvement, using analytics to refine personalization strategies and drive measurable outcomes.