Burtch Works
Job Title:
Senior Manager, Data Science
Location:
Oakbrook, IL (Hybrid)
About The Company A global technology leader in connected home and smart access solutions, this company is redefining how data, analytics, and experimentation shape digital transformation. With an expanding data science organization, they’re investing in leadership that can elevate experimentation, marketing intelligence, and data-driven product growth across global business units.
The culture is collaborative, innovative, and rooted in testing and measurement—where analytics leaders are empowered to build frameworks that drive measurable business outcomes.
Job Summary The Senior Manager, Data Science will lead a small but high-impact team of data scientists and analysts (2–3 direct reports) responsible for designing experiments, driving marketing optimization, and delivering advanced insights that shape digital strategy.
This role combines hands‑on technical leadership with strategic partnership across marketing, product, and engineering. The ideal candidate is a builder—comfortable mentoring a growing team, strengthening data science capabilities, and scaling experimentation frameworks that support a modern, customer‑centric business.
Key Responsibilities
Team Leadership & Strategy
Lead and mentor a team of 2–3 data science professionals focused on marketing and experimentation analytics.
Establish clear performance metrics, career development paths, and a culture of learning and rigor.
Partner with senior stakeholders to identify strategic priorities where analytics can create measurable value.
Own roadmap planning and prioritization for data science initiatives within marketing and digital.
Experimentation & Analytics Excellence
Oversee design and evaluation of A/B and multivariate tests across product, marketing, and digital experiences.
Build frameworks for hypothesis testing, statistical design, and post‑experiment evaluation.
Ensure consistency in experimentation methodology, metrics, and governance across teams.
Translate insights from tests and models into actionable business strategies and growth plans.
Marketing & Growth Analytics
Lead development of models and analyses to understand funnel performance, retention, attribution, and campaign ROI.
Partner with marketing leadership to guide segmentation, personalization, and customer lifecycle initiatives.
Deliver insights that directly inform investment decisions, channel strategy, and customer engagement optimization.
Collaboration & Communication
Serve as the key interface between technical teams and business leaders, ensuring clarity on objectives, timelines, and outcomes.
Present findings to senior executives, connecting data insights to tangible business results.
Champion a test‑and‑learn culture that promotes agility, innovation, and accountability.
Requirements
Education:
Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
Experience:
7+ years of experience in data science, analytics, or experimentation.
2–3 years of people leadership experience (direct management of analysts/data scientists).
Proven experience designing and analyzing A/B and multivariate tests in a digital, e‑commerce, or omni‑channel environment.
Hands‑on experience with SQL and Python; familiarity with BI tools such as Power BI, Tableau, or Looker.
Strong stakeholder management and communication skills, with a track record of influencing senior decision‑makers.
Compensation & Benefits
Base Salary: $200,000 — $210,000
Bonus: 20% annual target
Comprehensive medical, dental, and vision coverage
401(k) with company match
Generous PTO and holidays
Professional growth and leadership development opportunities
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Senior Manager, Data Science
Location:
Oakbrook, IL (Hybrid)
About The Company A global technology leader in connected home and smart access solutions, this company is redefining how data, analytics, and experimentation shape digital transformation. With an expanding data science organization, they’re investing in leadership that can elevate experimentation, marketing intelligence, and data-driven product growth across global business units.
The culture is collaborative, innovative, and rooted in testing and measurement—where analytics leaders are empowered to build frameworks that drive measurable business outcomes.
Job Summary The Senior Manager, Data Science will lead a small but high-impact team of data scientists and analysts (2–3 direct reports) responsible for designing experiments, driving marketing optimization, and delivering advanced insights that shape digital strategy.
This role combines hands‑on technical leadership with strategic partnership across marketing, product, and engineering. The ideal candidate is a builder—comfortable mentoring a growing team, strengthening data science capabilities, and scaling experimentation frameworks that support a modern, customer‑centric business.
Key Responsibilities
Team Leadership & Strategy
Lead and mentor a team of 2–3 data science professionals focused on marketing and experimentation analytics.
Establish clear performance metrics, career development paths, and a culture of learning and rigor.
Partner with senior stakeholders to identify strategic priorities where analytics can create measurable value.
Own roadmap planning and prioritization for data science initiatives within marketing and digital.
Experimentation & Analytics Excellence
Oversee design and evaluation of A/B and multivariate tests across product, marketing, and digital experiences.
Build frameworks for hypothesis testing, statistical design, and post‑experiment evaluation.
Ensure consistency in experimentation methodology, metrics, and governance across teams.
Translate insights from tests and models into actionable business strategies and growth plans.
Marketing & Growth Analytics
Lead development of models and analyses to understand funnel performance, retention, attribution, and campaign ROI.
Partner with marketing leadership to guide segmentation, personalization, and customer lifecycle initiatives.
Deliver insights that directly inform investment decisions, channel strategy, and customer engagement optimization.
Collaboration & Communication
Serve as the key interface between technical teams and business leaders, ensuring clarity on objectives, timelines, and outcomes.
Present findings to senior executives, connecting data insights to tangible business results.
Champion a test‑and‑learn culture that promotes agility, innovation, and accountability.
Requirements
Education:
Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
Experience:
7+ years of experience in data science, analytics, or experimentation.
2–3 years of people leadership experience (direct management of analysts/data scientists).
Proven experience designing and analyzing A/B and multivariate tests in a digital, e‑commerce, or omni‑channel environment.
Hands‑on experience with SQL and Python; familiarity with BI tools such as Power BI, Tableau, or Looker.
Strong stakeholder management and communication skills, with a track record of influencing senior decision‑makers.
Compensation & Benefits
Base Salary: $200,000 — $210,000
Bonus: 20% annual target
Comprehensive medical, dental, and vision coverage
401(k) with company match
Generous PTO and holidays
Professional growth and leadership development opportunities
#J-18808-Ljbffr