Manager, Experimentation And Personalization

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Job Description

Your Impact:

Joining a leading Data Analytics practice you will be responsible for driving client value through cross channel experimentation and personalization strategy. You’ll play a leadership role in delivering a best in class digital engagement program. You’ll play a hands-on role with experimentation, optimization and personalization across the consumer journey, while also mentoring and teaching others on process and best practice in data and analytics driven experimentation & personalization.

• In partnership with the client you will lead the maturity and evolution of a cross channel experimentation program by establishing measurement, quantification of value, governance, best practice while bringing fresh and innovative thinking and approach.
• You’ll be creating optimization experiences from scratch with audiences from first, third and owned data sets. Mastery with profile scripts, response tokens, set-up and debug A/B, MVT, Auto running tests. Integrate reporting with broader analytics systems for enhanced BI based dashboarding capabilities
• You’ll be leading strategy, planning and activation of below personalization categories
  • Content: Through experimentation tools
  • Product: Ability to create and manage product catalogs including rules. You’ll have experience with product recommendations out of box and custom algorithms. You’ll create activities, design and reporting capabilities around delivery, ingestion, engagement and reporting with product recommendations engine.
  • Customer: You’ll have experience with 1:1 customer personalization use-cases with examples of how customers experiences are enhanced in real-time based on data availability from AEP/GMP
• You’ll be well versed in building experimentation pipelines/backlogs leveraging qualitative and quantitative data to build test hypothesis and score and prioritize experiments to maximum impact – incremental revenue, customer engagement and a range of success outcomes
• Analyzing customer journeys under an optimization-focused lens, while interpreting experimentation results
• Present insights to clients and account teams in a compelling and relevant story with recommendations backed by robust analysis
• Guide your team and the client team through experimentation learning & best practices
• Collaborate with cross-functional teams, including creative, design and technology to shape meaningful customer journeys and customer centric thinking

Qualifications

Your Skills & Experience:

• Consulting & Project Management
  • Experience with a focus in Digital Analytics and Optimization – A/B and Multivariate testing across channels
  • Experience is delivering content, product and 1:1 customer personalization use-cases in any industry vertical (retail experience is a plus)
  • Strong consultative skills and the ability to challenge status quo and gain adoption - proven ability to influence stakeholder and senior leaders, and manage organizational change
  • Ability to build relationships and work as part of a large, cross functional team to solve complex problems – both with internal teams & external clients
  • Highly motivated with an entrepreneurial spirit & the ability to hit the ground running
  • Ability to build strategic roadmaps and have a proven track record of managing large multi-team projects
• Data Analysis
  • Passion for digital analytics, working with data and deriving insights to answer client business questions
  • Comfortable working with and synthesizing large data sets to extract actionable business insights
  • Strong statistics background; understanding the use of analysis techniques such as ANOVA, ANCOVA and T-Tests
• Experimentation Execution
  • Hands-on experience delivering, executing and managing optimization programs and analytics engagements
  • Experience with experimentation tools such as Adobe Target and Optimizely
  • Experience with product recommendations tools like Adobe Recommendations, Google Recommendations AI

Additional Information

Benefits of Working Here:

• Flexible vacation policy; time is not limited, allocated, or accrued
• 15 paid holidays throughout the year
• Generous parental leave and new parent transition program
• Tuition reimbursement
• Corporate gift matching program