Manager, CXM

Job Title: Manager, CXM

Location: Arlington, VA (Hybrid)

Duration: / Term: Fulltime

Job Description:

Experience Desired: 10+ Years.

Responsibilities:

Stakeholder Engagement:

• Engage with business stakeholders to understand their challenges, objectives, and requirements.
• Conduct thorough interviews and meetings to gather detailed information on business problems and pain points.
• Translate business needs into clear data and analytical requirements.

Solution Design:

• Define a solution approach and outcomes for identified business use-cases, balancing business outcomes with complexity of technical approach.
• Identify and recommend relevant data sources and approaches to achieve required outcomes.
• Form hypotheses to test impact of various factors like pricing, promotions, shopper behavior, brand equity etc. on volumes / revenue growth
• Create frameworks to predict potential impact and size of prize based on historical patterns
• Perform comprehensive data analysis to uncover trends, patterns, and anomalies.

Insights and Recommendations:

• Develop and present detailed reports, visualizations and executive presentations that highlight key findings.
• Provide clear and actionable observations to clients, backed by data and analytical evidence.
• Formulate strategic recommendations to address business issues and drive decision-making.
• Communicate complex analytical concepts in a clear and concise manner to non-technical stakeholders.

Project Management:

• Lead and manage data analytics projects from inception to completion, ensuring timely delivery and quality outcomes.
• Define project scope, objectives, and deliverables, aligning them with client expectations.
• Develop project plans, timelines, and budgets, and monitor progress against these plans.
• Identify and mitigate project risks and ensure effective communication throughout the project lifecycle.

Qualifications & Experience:

• Bachelors or Masters degree in Business, Computer Science, Analytics or a related field.
• 6-9 years of experience in data analysis, business intelligence, or a related role.
• Extensive experience in syndicated data (e.g., Circana, NIQ), shopper panel data (e.g., Numerator, Circana, Fetch) and retailer data (e.g., Walmart Luminate, Kroger Stratum)
• Knowledge of attribution modeling, feature engineering and data science
• Working knowledge of GenAI models and agentic frameworks
• Experience engaging with senior business executives
• Excellent problem-solving skills, critical thinking and attention to detail.
• Strong communication and interpersonal skills, with the ability to convey complex information to a diverse audience.
• Proven experience in managing multiple team members and priorities simultaneously, with a track record of successful project delivery.
• Proficiency in Excel and PowerPoint.

Key Skills:

Data analysis, business intelligence, GenAI