Senior Manager, Data Accessibility & Analytics

Salesforce•Atlanta, GA

3d•Hybrid

About The Position

As a member of the Controllership Organization, the Senior Manager, Data Accessibility and Analytics, is responsible for leading the Data Enablement process to ensure critical datasets are properly configured, accessible, and aligned with governance and compliance requirements. This role involves developing data models using multiple data sources to deliver actionable insights for the Controllership organization and leveraging data to streamline and optimize existing processes. The ideal candidate will have strong knowledge of data information models, ensuring the business receives accurate, relevant, and timely insights. They must be comfortable working with a wide range of finance stakeholders and cross-functional teams, with a passion for uncovering solutions within large datasets and using data to improve business outcomes.

Requirements

Experience building, deploying, and managing data pipelines and analytics platforms in large, complex environments.
Experience designing and working with modern data architectures.
Proficiency with cloud data warehouses (e.g., Snowflake).
Strong experience with data visualization tools (e.g., Tableau).
Advanced SQL skills, ETL experience, BI reporting, data warehousing concepts, and data modeling.
Experience working with CRM and modern SaaS platforms.
Understanding of data catalog and data lineage tools.
Experience gathering requirements, performing data modeling, and conducting data profiling.
Strong problem-solving and analytical skills.

Nice To Haves

BA/BS degree or equivalent experience required. Experience will be evaluated based on the Core Competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)
8+ years of experience in the Data domain.
5+ years of experience as a people manager or team lead.
Experience managing Finance domain architectures including ERP and related systems.
Ability to build business cases, define service requirements, and manage strategic alliances.
Ability to balance shifting priorities while delivering high-quality outputs.
Excellent interpersonal and communication skills.

Responsibilities

Data governance and trust enablement for finance data originating from Finance-owned systems such as Workday Financials, Workday HCM and Other compensation & benefits tools. Support capabilities that enhance data quality, lineage, metadata management, and overall trustworthiness and adoption of data within the Finance Organization. Act as the business owner of a dataset, maintaining its quality, documentation, and compliance so that users can trust and correctly interpret the data.
Business Partnership & Opportunity Identification Collaborate with stakeholders to identify opportunities to leverage data for improved business performance and operational efficiency.
Data Analysis & Process Improvement Mine and analyze large datasets to improve processes, strengthen the internal control environment, and deliver meaningful business insights.
Data Quality & Source Evaluation Assess and validate new data sources and data collection techniques to ensure accuracy and reliability.
Metadata & Stewardship Alignment Partner with IT and Business Data Stewards to maintain accurate, complete, and current metadata for assigned datasets.
Dataset Prioritization Identify, prioritize, and develop use-case-specific datasets using Snowflake, Tableau, or equivalent tools.
Performance Metrics & Insights Define key metrics, monitor performance against KPIs, conduct benchmarking, and support business planning and prioritization based on expected outcomes.
Collaboration on Data Architecture Work closely with the Finance Data Office and Salesforce teams to support data architecture and data warehouse initiatives and deliver BI solutions.
Business–Analytics Alignment Bridge the gap between business teams and analytics specialists by helping prioritize work, coordinating cross-functional activities, and supporting project streams. Assist the business in creating complex, strategic reports requiring deep knowledge of curated data
Analytics Transformation Lead the transformation of operational reporting from descriptive and diagnostic analytics toward more advanced, insight-driven reporting.