8+ years in Data Analytics, Business Intelligence, or Data Science, with leadership experience.
Proven ability to manage and develop data professionals effectively.
Strong business acumen with experience in senior leadership partnerships.
Exceptional analytical problem-solving skills, from framing questions to implementation.
Advanced SQL proficiency and familiarity with BI tools like Omni or Looker.
Technical fluency in data quality, transformation, and reporting processes.
Experience with AI tools to enhance analytical work.
Responsibilities
Lead partnerships with senior business leaders to align data strategies with business objectives.
Manage and coach a multi-functional data team, fostering capability and accountability.
Oversee the team's roadmap, prioritizing projects based on business impact and communicating progress.
Translate complex business questions into actionable insights and recommendations.
Enhance reporting, KPIs, and data quality while collaborating with enterprise Data teams.
Promote data fluency among leaders to facilitate evidence-based decision-making.
Drive continuous improvement in data processes and analytical capabilities.
Benefits
Opportunity to lead a dedicated data team within a key business unit.
Direct ownership of data initiatives that impact customer value and business performance.
Access to enterprise-level data capabilities and resources.
Professional development opportunities in a dynamic environment.
Collaboration with senior leadership on strategic decisions.
Full Job Description
Overview
We are looking for a Senior Manager, Data & Analytics to lead a dedicated, multi-functional data team supporting a distinct business unit within a larger enterprise.
This leader will be the primary Data partner to senior business leadership, helping turn data into better decisions across commercial, financial, operational, and customer priorities. The role combines business partnership, team leadership, analytics, and delivery ownership while connecting the business unit to broader enterprise Data capabilities.
This role offers direct ownership of Data for a key business unit, including leadership of the team, its priorities, and its impact. Success means building a stronger Data capability that contributes to customer value and business performance.
Key Responsibilities
Lead the Data partnership: Partner with senior business leaders to understand objectives, identify opportunities, set expectations, and translate business needs into a clear Data and Analytics agenda.
Lead and develop the team: Manage and coach a multi-functional team spanning analytics, BI/reporting, and broader data work. Build team capability, clear ownership, and consistent execution.
Own priorities and delivery: Manage the team's roadmap and portfolio, prioritize based on business impact, coordinate dependencies, and communicate progress, risks, and tradeoffs clearly.
Drive insight and action: Translate ambiguous business questions into analysis, metrics, and recommendations. Identify trends, risks, and opportunities across financial, customer, commercial, and operational performance.
Build scalable capabilities: Improve reporting, KPIs, data quality, and recurring analytical processes. Partner with enterprise Data teams to build durable solutions using shared platforms, tools, and standards.
Improve data fluency: Help leaders use data more effectively, test assumptions with evidence, and turn complex findings into clear decisions and actions.
What We're Looking For
8+ years of experience in Data Analytics, Business Intelligence, Data Science, or a related field, including experience managing and developing people.
Experience leading data professionals, setting priorities, creating clear accountability, and supporting strong team performance.
Strong business acumen and experience partnering with senior leaders on financial, operational, customer, or commercial decisions.
Strong analytical problem-solving skills, including the ability to take ambiguous questions from initial framing through recommendation and implementation.
Advanced SQL skills and experience with modern BI and visualization platforms such as Omni, Looker, or similar tools.
Technical fluency across data quality, transformation, reporting, and analytical solutions, with the ability to work effectively with Data Engineering and other technical teams.
Experience using emerging AI tools to improve analytical or technical work, with appropriate review and validation of outputs.
Strong communication and project-management skills, including the ability to manage competing priorities and make tradeoffs clear.
A track record of ownership, curiosity, and reliable follow-through, with a practical approach to solving problems and improving how the business uses data.
Preferred Qualifications
Experience leading a team spanning multiple Data disciplines.
Experience in CPG, retail, ecommerce, subscription services, or another data-rich consumer business.
Experience supporting a business unit within a broader enterprise Data organization.
Familiarity with modern cloud data platforms and tools such as Snowflake, dbt, and Python.
Bachelor's degree in a quantitative, technical, business, or related discipline, or equivalent practical experience.
