Senior Manager, Finance Data Analytics
Instacart
Senior Manager, Finance Data Analytics
Job Description
Responsibilities
- Design Scalable Financial Data Solutions – Develop robust data models, pipelines, and reporting systems that drive informed decision-making across teams.
- Ensure Compliance & Governance – Embed “compliance by design” principles to uphold SOX standards, streamline audits, and enforce data governance.
- Champion Data Integrity – Establish rigorous validation and monitoring frameworks to ensure accuracy, consistency, and reliability in financial data.
- Lead & Develop Talent – Build, mentor, and scale a high-performing analytics team, fostering a culture of innovation and excellence.
- Drive Cross-Functional Collaboration – Partner with Finance, Accounting, and Engineering to align data strategies with business objectives and operational needs.
- Leadership Communication – Presenting insights and recommendations to senior leadership in a clear, impactful manner.
- Cross Functional Collaboration – Partnering with stakeholders and product managers to translate requirements into scalable system designs.
Required Qualifications
- Have a BS or MS in Statistics, Computer Science, Economics, or a related field or equivalent experience and have 10+ years across analytics engineering, AI/ML, and data analytics.
- 5+ years managing technical teams with a clear progression of impact and seniority.
- Strong SQL and data engineering fundamentals, including experience with Snowflake, dbt, and BI tooling (e.g., Mode, Looker, Tableau)
- Experience managing large, complex data pipelines, ensuring data quality, compliance, and traceability
- Experience enforcing data governance policies, including access controls, change management, and lifecycle management
- Deep expertise with financial data models, accounting data structure, and business systems (e.g., Oracle, Adaptive, Workday, Salesforce)
- Excellent communication skills with demonstrated ability to align technical and non-technical teams
- Proven leadership experience in high-growth, fast-pasted environments
Preferred Qualifications
- Public company experience
- Experience working at a high-growth tech company
- Experience developing self-serve financial data platforms
- Strong understanding of SOX compliance and public-company environments
Required Skills
- SQL
- data engineering
- Snowflake
- dbt
- BI tooling (Mode, Looker, Tableau)
- financial data models
- accounting data structure
- business systems (Oracle, Adaptive, Workday, Salesforce)
- communication skills
- leadership
Benefits
- highly market-competitive compensation
- new hire equity grant as well as annual refresh grants
Salary Range
$168000 - $225000 USD
Locations
- United States, United States (Remote)
Salary
168,000 - 225,000 USD / yearly
Skills Required
- SQLintermediate
- data engineeringintermediate
- Snowflakeintermediate
- dbtintermediate
- BI tooling (Mode, Looker, Tableau)intermediate
- financial data modelsintermediate
- accounting data structureintermediate
- business systems (Oracle, Adaptive, Workday, Salesforce)intermediate
- communication skillsintermediate
- leadershipintermediate
Required Qualifications
- Have a BS or MS in Statistics, Computer Science, Economics, or a related field or equivalent experience and have 10+ years across analytics engineering, AI/ML, and data analytics. (experience)
- 5+ years managing technical teams with a clear progression of impact and seniority. (experience)
- Strong SQL and data engineering fundamentals, including experience with Snowflake, dbt, and BI tooling (e.g., Mode, Looker, Tableau) (experience)
- Experience managing large, complex data pipelines, ensuring data quality, compliance, and traceability (experience)
- Experience enforcing data governance policies, including access controls, change management, and lifecycle management (experience)
- Deep expertise with financial data models, accounting data structure, and business systems (e.g., Oracle, Adaptive, Workday, Salesforce) (experience)
- Excellent communication skills with demonstrated ability to align technical and non-technical teams (experience)
- Proven leadership experience in high-growth, fast-pasted environments (experience)
Preferred Qualifications
- Public company experience (experience)
- Experience working at a high-growth tech company (experience)
- Experience developing self-serve financial data platforms (experience)
- Strong understanding of SOX compliance and public-company environments (experience)
Responsibilities
- Design Scalable Financial Data Solutions – Develop robust data models, pipelines, and reporting systems that drive informed decision-making across teams.
- Ensure Compliance & Governance – Embed “compliance by design” principles to uphold SOX standards, streamline audits, and enforce data governance.
- Champion Data Integrity – Establish rigorous validation and monitoring frameworks to ensure accuracy, consistency, and reliability in financial data.
- Lead & Develop Talent – Build, mentor, and scale a high-performing analytics team, fostering a culture of innovation and excellence.
- Drive Cross-Functional Collaboration – Partner with Finance, Accounting, and Engineering to align data strategies with business objectives and operational needs.
- Leadership Communication – Presenting insights and recommendations to senior leadership in a clear, impactful manner.
- Cross Functional Collaboration – Partnering with stakeholders and product managers to translate requirements into scalable system designs.
Benefits
- general: highly market-competitive compensation
- general: new hire equity grant as well as annual refresh grants
Tags & Categories
Senior Manager, Finance Data Analytics
Instacart
Senior Manager, Finance Data Analytics
Job Description
Responsibilities
- Design Scalable Financial Data Solutions – Develop robust data models, pipelines, and reporting systems that drive informed decision-making across teams.
- Ensure Compliance & Governance – Embed “compliance by design” principles to uphold SOX standards, streamline audits, and enforce data governance.
- Champion Data Integrity – Establish rigorous validation and monitoring frameworks to ensure accuracy, consistency, and reliability in financial data.
- Lead & Develop Talent – Build, mentor, and scale a high-performing analytics team, fostering a culture of innovation and excellence.
- Drive Cross-Functional Collaboration – Partner with Finance, Accounting, and Engineering to align data strategies with business objectives and operational needs.
- Leadership Communication – Presenting insights and recommendations to senior leadership in a clear, impactful manner.
- Cross Functional Collaboration – Partnering with stakeholders and product managers to translate requirements into scalable system designs.
Required Qualifications
- Have a BS or MS in Statistics, Computer Science, Economics, or a related field or equivalent experience and have 10+ years across analytics engineering, AI/ML, and data analytics.
- 5+ years managing technical teams with a clear progression of impact and seniority.
- Strong SQL and data engineering fundamentals, including experience with Snowflake, dbt, and BI tooling (e.g., Mode, Looker, Tableau)
- Experience managing large, complex data pipelines, ensuring data quality, compliance, and traceability
- Experience enforcing data governance policies, including access controls, change management, and lifecycle management
- Deep expertise with financial data models, accounting data structure, and business systems (e.g., Oracle, Adaptive, Workday, Salesforce)
- Excellent communication skills with demonstrated ability to align technical and non-technical teams
- Proven leadership experience in high-growth, fast-pasted environments
Preferred Qualifications
- Public company experience
- Experience working at a high-growth tech company
- Experience developing self-serve financial data platforms
- Strong understanding of SOX compliance and public-company environments
Required Skills
- SQL
- data engineering
- Snowflake
- dbt
- BI tooling (Mode, Looker, Tableau)
- financial data models
- accounting data structure
- business systems (Oracle, Adaptive, Workday, Salesforce)
- communication skills
- leadership
Benefits
- highly market-competitive compensation
- new hire equity grant as well as annual refresh grants
Salary Range
$168000 - $225000 USD
Locations
- United States, United States (Remote)
Salary
168,000 - 225,000 USD / yearly
Skills Required
- SQLintermediate
- data engineeringintermediate
- Snowflakeintermediate
- dbtintermediate
- BI tooling (Mode, Looker, Tableau)intermediate
- financial data modelsintermediate
- accounting data structureintermediate
- business systems (Oracle, Adaptive, Workday, Salesforce)intermediate
- communication skillsintermediate
- leadershipintermediate
Required Qualifications
- Have a BS or MS in Statistics, Computer Science, Economics, or a related field or equivalent experience and have 10+ years across analytics engineering, AI/ML, and data analytics. (experience)
- 5+ years managing technical teams with a clear progression of impact and seniority. (experience)
- Strong SQL and data engineering fundamentals, including experience with Snowflake, dbt, and BI tooling (e.g., Mode, Looker, Tableau) (experience)
- Experience managing large, complex data pipelines, ensuring data quality, compliance, and traceability (experience)
- Experience enforcing data governance policies, including access controls, change management, and lifecycle management (experience)
- Deep expertise with financial data models, accounting data structure, and business systems (e.g., Oracle, Adaptive, Workday, Salesforce) (experience)
- Excellent communication skills with demonstrated ability to align technical and non-technical teams (experience)
- Proven leadership experience in high-growth, fast-pasted environments (experience)
Preferred Qualifications
- Public company experience (experience)
- Experience working at a high-growth tech company (experience)
- Experience developing self-serve financial data platforms (experience)
- Strong understanding of SOX compliance and public-company environments (experience)
Responsibilities
- Design Scalable Financial Data Solutions – Develop robust data models, pipelines, and reporting systems that drive informed decision-making across teams.
- Ensure Compliance & Governance – Embed “compliance by design” principles to uphold SOX standards, streamline audits, and enforce data governance.
- Champion Data Integrity – Establish rigorous validation and monitoring frameworks to ensure accuracy, consistency, and reliability in financial data.
- Lead & Develop Talent – Build, mentor, and scale a high-performing analytics team, fostering a culture of innovation and excellence.
- Drive Cross-Functional Collaboration – Partner with Finance, Accounting, and Engineering to align data strategies with business objectives and operational needs.
- Leadership Communication – Presenting insights and recommendations to senior leadership in a clear, impactful manner.
- Cross Functional Collaboration – Partnering with stakeholders and product managers to translate requirements into scalable system designs.
Benefits
- general: highly market-competitive compensation
- general: new hire equity grant as well as annual refresh grants
Tags & Categories