Senior Manager, Measurement and Decision Science (Remote)
Remote · USFull-timePosted 2 days agoStill listed 1 day ago
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
The Senior Manager, Measurement and Decision Science sets the strategy and roadmap for personalized customer experiences using advanced analytics, customer-level modeling, and in-market testing. The role leads a team, partners with business and technology groups to design experiments and implement modeling solutions, and oversees test activation and analytics documentation. It also develops talent and manages strategic initiatives across the organization.
Skills & qualifications
Skills
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Full job description
Role Specific Information
Job Description
About the Role As Senior Manager, Measurement and Decision Science, you will set strategy, roadmap and serve as directive lead to create best-in-class personalized experiences for Kohl’s customers through use of advanced analytics geared towards diagnostics, customer level 1:1 modeling, as well as in-market testing.
What You’ll Do
- Lead team that uses big data and advanced analytical techniques to optimize customer engagement and lifetime value
- Use customer level 1:1 analysis/modeling for targeting initiatives
- Play the lead role in consolidating learnings towards personalization initiatives that help make data based targeting more powerful over time
- Partner with Marketing, Pricing, Digital, Merchandising, and Store leadership to identify learning opportunities, design experiments, measure results, and scale successful initiatives
- Oversee flawless activation of tests, ensuring essential model runs, segmentation and timelines are provided to key stakeholders
- Ensure relevant analytics assets and tests are documented and that any insights are captured
- Partner with the Technology Machine Learning Engineering (MLE) team to implement the flawless roll-out of modeling solutions in production
- Act as main liaison with business partners in Personalization, Customer Strategy and Media teams to identify use-cases for modeling projects, and optimize model usage to drive highest business impact
- Foster a high-performing team environment by developing talent, providing coaching and feedback, and building strong partnerships across the organization
- Manage multiple strategic initiatives in a fast-paced environment while leveraging strong communication, storytelling, and data visualization skills
- Additional tasks may be assigned
What Skills You Have Required
- Master’s Degree in quantitative areas such as Applied Mathematics, data science or related field
- 7+ years of relevant analytics experience
- 4+ years of leadership experience or oversight of a team
- Proficient in Python for modeling, SQL for data manipulation, and Git
- Experience with developing and scaling predictive models and optimization algorithms (retail preferred)
- Strong understanding of experimentation design and causal inference (A/B testing, causal modeling, test-and-learn frameworks)
- Advanced proficiency in data analysis, statistical methods and translating data into actionable insights
Preferred
- Ph.D. in hard sciences, computer science, engineering, or other applicable field
- Ability to influence, collaborate and partner with teams and leaders across an organization
- Experience with cutting edge frameworks such as AgentAI, Deep Learning
Essential Functions The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl’s may revise this job description from time to time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.
- Ability to perform the accountabilities listed in the “What You’ll Do” Section
- Ability to maintain prompt and regular attendance as set by the company
- Ability to work at least 8 hours per day, occasionally longer when necessary to meet business needs, 5 days per week
- Ability to comply with dress code requirements
- Ability to learn and comply with all company policies, procedures, standards and guidelines
- Ability to give direction and receive, understand and proactively respond to direction from leadership and other company personnel
- Ability to work as part of a team and interact effectively and appropriately with others
- Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes
- Ability to satisfactorily complete company training programs
- Perform work in accordance with the Physical/Cognitive Requirements section
Physical/Cognitive Requirements
- Ability to use a personal computer for tasks such as communicating, preparing reports, etc.
- Ability to plan, prioritize and monitor activities across business units
- Ability to complete or oversee the completion of assigned projects in a timely manner
- Ability to comply with health and safety standards
How this job compares
Set against the 1,957 open Analytics jobs on Olive Jobs, counted November 11, 2026.
- Pay
- This postingNot listed
- US median$124–199K/yr1,403 salary ranges
- US median$45–56/hr86 hourly ranges
- Openings
- Olive Jobs lists 1,957 open Analytics jobs across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most across the US
- Meta90 open
- Accenture83 open
- CVS Health61 open
- Experience
- This posting asks for at least 7 years of experience; Analytics postings that state a minimum ask for 5 years at the median (1,613 postings).
- Education
- This posting asks for a master's degree; 59 of the 1,957 open Analytics jobs (3%) ask for a master's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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