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About the Role

The Operations Analytics Senior Manager will own the North America Service Strategy & Operations analytics strategy, including the multi-year vision, operating model, governance agenda, and roadmap for data, analytics, and AI-enabled decision support. This leader will build scalable analytics capabilities, strengthen KPI architecture and data trust, and translate operational, customer, and financial insights into measurable business outcomes and executive recommendations. Serving as a strategic advisor to senior leaders, the role partners across Operations, Customer Experience, Product, Engineering, and Finance to improve performance visibility, inform operating plans, and shape long-term service delivery strategy.

Responsibilities

Own Operations Analytics Strategy & Operating Model, including vision, strategy, multi-year roadmap, operating model, governance, prioritization, and delivery standards.
Set analytics priorities that inform operating plans, strategic investments, workforce planning, service delivery, and enterprise performance objectives for senior leadership.
Build and lead Operations Analytics as an enterprise capability, including talent strategy, operating rhythms, standards, roadmap, stakeholder engagement, and capability development.
Use structured problem-solving and analytics to diagnose performance drivers, root causes, risks, and opportunities across complex operations.
Establish repeatable performance tracking and variance analysis frameworks aligned to planning cycles and leadership decisions.
Strengthen Data Quality, KPI Architecture and Confidence in Decision Support Tools by building scalable data foundations, governance standards, KPI architecture, and analytics capabilities.
Develop, coach, and grow a high-performing analytics team while establishing scalable standards and best practices.
Partner with technical teams to improve data quality, reliability, and accessibility for high-value business use cases.
Lead enterprise operational reporting, dashboarding, and technology migration with a focus on clarity, actionability, scalability, and reuse.
Identify, size, prioritize, and track opportunities to improve efficiency, reduce cost, increase productivity, mitigate risk, and enhance customer outcomes.
Partner with Finance and FP&A to align operational reporting with cost drivers, forecast assumptions, performance metrics, pricing drivers and P&L outcomes.
Drive Analytics, Automation & AI Transformation, including self-service analytics and AI-enabled decision support, by defining practical use cases, adoption paths, and scalable standards.
Expand access to high-value data, tools, and AI-driven solutions while balancing ease of use, governance, reliability, and business value.
Move the organization from static reporting to dynamic, diagnostic, forward-looking insights that support planning, prioritization, and course correction.
Build stakeholder confidence and capability in using data for day-to-day decision-making.

Requirements

10+ years in analytics, business operations, strategy, or related fields, with experience leading complex analytics workstreams or functions in operationally intensive environments.
Proven ability to translate business needs into scalable analytics solutions that improve data foundations, reporting consistency, and decision support.
Track record of influencing senior stakeholders and driving cross-functional outcomes in a matrixed environment.
Ownership-oriented leader with a bias for action, accountability, and measurable business impact.
Comfortable operating in ambiguity, setting direction, and aligning stakeholders around priorities and outcomes.
Able to balance strategic thinking with hands-on problem solving to ensure execution quality and sustainable capability-building.
The candidate(s) offered this position will be required to submit to a background investigation.

Skills

Strong ability to connect data, insights, operational drivers, and financial outcomes into clear, executive-level recommendations.
Strong understanding of financial drivers, forecasting, and operational performance measurement.
Experience leading enterprise analytics programs, BI ecosystems, KPI frameworks, and data management practices.
Familiarity with AI, predictive modeling, and advanced analytics use cases that improve operational decision-making and adoption.
Excellent structured communication and executive storytelling, with the ability to simplify complexity and influence decisions.

Location

Remote

Work Type

Remote
Full-time

Experience Level

Senior Manager
10+ years

Salary/Compensations

$130K-$190K annually

Benefits

Medical, dental and vision coverage with network optionality and the ability to contribute to a savings account (HSA or FSA)
Up to 4% company match into 401(k) and contributions into your company-sponsored pension
$75/month budget to help prioritize your physical wellbeing
$80/month stipend to subsidize connectivity costs
Mental health resources including free 1:1 therapy, coaching sessions and digital resources
Supportive leave policies
Flexible Time Off Policy in addition to 9 Company Holidays
Tuition reimbursement up to $5,250 per year to further your personal educational advancement desires
Various corporate perks and discounts

About the Company

SquareTrade, Inc. d/b/a Allstate Protection Plans (“SquareTrade”) is one of the fastest-growing companies in its industry, transforming a $30B market through service innovation and an unwavering focus on customer satisfaction.
Partners include Walmart, Target, Amazon, Costco, and The Home Depot.
Consistently earn industry awards, have tens of thousands of 5-star reviews, and are just getting started.
As part of the Allstate family, SquareTrade has headquarters in the Bay Area and London, and is expanding rapidly across Europe and Asia Pacific, including Japan, Australia, Korea, and Thailand.

Equal Opportunity

SquareTrade is proud to be an Equal Employment Opportunity employer.
We are committed to creating an inclusive work environment for all employees.
We celebrate diversity and encourage applications from all qualified individuals regardless of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status.
It is the Company’s policy to employ the best qualified individuals available for all jobs.
Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited.
This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.