Contractors’ Warehouse —
Manager of Online Personalization and Experimentation

Position Purpose:

Job Summary:

We are looking for a Manager, Online Experimentation and Personalization to lead the charge in blending the analytical rigor of decision analytics with the dynamic arena of digital customer engagement. This role is tailor-made for an individual who thrives at the intersection of data science and digital marketing, leveraging state-of-the-art analytics tools such as GCP Big Query, Python, R, SQL, and Tableau to derive insights that drive strategic decisions and elevate the online customer experience. The ideal candidate will lead through ambiguity, drafting and executing data-driven strategies to ensure personalized and effective digital interactions. This pivotal role transforms complex data into actionable business strategies and cutting-edge online experiences, boosting customer satisfaction and propelling business growth.

The perfect fit for this position will be someone with a robust analytical background and a flair for digital marketing, proven by a history of leading cross-functional projects that enhance user experience and engagement. Responsibilities will include driving online personalization projects from the ground up—ranging from A/B testing and customer journey mapping to the seamless integration of emerging technologies. This role calls for a visionary leader adept at navigating the intricacies of data analytics while nurturing a culture of creativity and innovation in digital personalization. Armed with a deep understanding of the latest trends in analytics and digital marketing, the Manager, Online Experimentation and Personalization will play a crucial role in steering our company's online personalization strategy and decision-making processes toward a bright and prosperous future.

Key Responsibilities:

• Strategic Experiment Design: Lead the design and implementation of online experiments aligned with business objectives, ensuring technical feasibility and robust statistical analysis. Manage online tagging and collaborate with AAPE teams for custom tag creation.
• UX Collaboration: Partner with UX teams to align design requirements with testing strategies, ensuring a consistent user experience across digital platforms.
• Online Experience Development: Work with OCP teams and Experimentation developers for content setup and feature testing, overseeing the implementation of optimized online experiences for user engagement and conversion.
• Quality Assurance and Approvals: Supervise QA processes, validate online experiences, gather user feedback, and manage approval processes (e.g., SRE/CRB).
• Performance Monitoring: Monitor and analyze performance metrics to ensure optimal website performance and user experience.
• Cross-Channel Communication: Communicate experiment progress, challenges, and results to stakeholders, promoting transparency and collaboration.
• Data Integration and Analytics: Develop data integration pipelines for Omnichannel experiences and implement comprehensive analytics frameworks, including customer journey mapping and revenue models.
• Audience Strategy: Develop and manage audience segmentation and targeting strategies to enhance personalization efforts.
• Tool Assessment and Management: Evaluate and integrate new tools to enhance cross-channel testing capabilities, managing existing tools to optimize performance.
• Risk Assessment: Identify and mitigate risks associated with online experiments to ensure stability and reliability.

Importance of the Role:

• Cross-Functional Leadership: Serve as a pivotal bridge among technical, marketing, and data analytics teams to deliver cohesive and effective online experiences.
• Business Impact: Drive customer engagement and conversion rates through targeted online personalization strategies, significantly contributing to revenue growth.
• Innovation Driver: Lead the exploration of new strategies and technologies to maintain competitiveness in a dynamic digital landscape.

Educational Background:

• Bachelor's Degree in Marketing, Business, Computer Science, Data Science, Statistics, or related field. Master's degree or MBA preferred.
• Relevant certifications in digital marketing, data analytics, UX/UI design are beneficial.

Technical Skills:

• Proficiency in data analysis, statistics, and experience with analytical tools (Google Analytics, Adobe Analytics).
• Hands-on experience with A/B testing and multivariate testing tools (e.g., Optimizely, VWO, Adobe Target).
• Familiarity with programming languages (HTML, CSS, JavaScript, SQL) and data management practices.

Professional Experience:

• Demonstrable experience in digital marketing/personalization and leadership in experimentation projects.
• Experience in cross-functional collaboration and strategic planning.
• Proven ability in innovation and problem-solving within the personalization space.

Personal Attributes:

• Analytical mindset with the ability to translate complex data into actionable strategies.
• Innovative thinking with a propensity for creative problem-solving.
• Strong communication skills and leadership qualities.
• Adaptability to changing technologies and market trends.

Other Requirements:

• Up-to-date with the latest trends in online personalization and digital marketing.
• Ability to network with industry professionals and engage in continuous learning.

Key Responsibilities:

• 20% – Business Collaboration – Collaborate with stakeholders, business partners, colleagues, developers and business analysts to deliver high quality analytics solutions; Ensure all business requirements are met and the team has everything needed to perform their analysis.
• 20% – Communicating Results – Provide requested insights to executive leadership as well as peer teams; Present predictive and prescriptive insights to requestors to guide decision-making.
• 10% – Framing & Executing Analytics – Serve as data strategy consultants for the executive leadership team and provide answers to strategic questions; Develop KPI Frameworks for internal organizations to measure performance.
• 40% – People Management & Team Leadership – Provide leadership, mentorship and coaching to team members (individual contributors) and evaluate performance, execution, and contribution. Attract, retain and develop top talent to build an effective and high performing team. Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress. Ensure appropriate processes and job-specific requirements are properly documented. Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team. Manage resources effectively to align with strategic initiatives and business needs. Foster collaboration with team members to develop a supportive and engaged team. Support team in the design and development of algorithms and models to use against large datasets to create business insights. Drive team's results and celebrate accomplishments.
• 10% – Project Management & Team Support – Management of business requests, roadmaps, and coordination across other teams to provide insights; Advise all stakeholders on the level of effort involved in producing certain insights and establishing a new request.

Direct Manager/Direct Reports:

• This position reports to the Senior Manager or Above
• This position has 1+ direct reports

Travel Requirements:

• Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:

• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.

Working Conditions:

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

• Must be 18 years of age or older.
• Must be legally permitted to work in the United States.
• Experience managing and growing team members in a professional setting
• Demonstrated proficiency in guiding more junior team members through data analysis and visualization fundamentals
• Expertise utilizing data analysis to identify key insights that help solve business problems

Preferred Qualifications:

• Master's degree in a quantitative field (Analytics, Finance, Data Science, Applied Statistics, Computer Science etc.)  or relevant work experience
• Previous people management experience
• Experience in Marketing/media analytics and experience running marketing experiments.
• Experience with experimentation and web analytics tools like Adobe Analytics, Adobe Target etc.
• Expertise in experimental design and causal inference.
• Adept at partnering with organizations to build KPI frameworks.
• Experience producing deep, statistical analysis in support of testing.
• Proficient in analytics tools such as Python, R, SQL
• Proficient with data visualization software (preferably Tableau)
• Adept in managing business requests and roadmaps for cross functional organizations.

Minimum Education:

• The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:

• The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.

Minimum Years of Work Experience:

• 5

Preferred Years of Work Experience:

• 6

Minimum Leadership Experience:

• No previous leadership experience

Preferred Leadership Experience:

• 1+ year of previous leadership experience

Certifications:

• None

Competencies:

• Decision Quality
• Collaborates
• Drives Engagement
• Ensures Accountability
• Plans and Aligns
• Communicates Effectively
• Customer Focus
• Develops Talent
• Drives Results
• Manages Conflict