▷ 3 Days Left Sr. Es Data Management Specialist

To get the best candidate experience please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts Job Category Data Job Details About Salesforce Salesforce is the 1 AI CRM where humans with agents drive customer success together Here ambition meets action Tech meets trust And innovation isn t a buzzword it s a way of life The world of work as we know it is changing and we re looking for Trailblazers who are passionate about bettering business and the world through AI driving innovation and keeping Salesforce s core values at the heart of it all Ready to level-up your career at the company leading workforce transformation in the agentic era You re in the right place Agentforce is the future of AI and you are the future of Salesforce The ES Employee Success Global Operations team at Salesforce forms the operational core of our HR function dedicated to ensuring a world-class employee experience This team is responsible for delivering exceptional HR services across all regions managing the essential processes and systems that enable our global talent to thrive As part of the ES Office of Data vision the ES Data Management team drives the strategy and execution of our people data programs ensuring the integrity and usability of information through robust data governance quality and metadata management In this role you will be responsible for documenting and maintaining data landscapes as well as executing efficient frameworks to assess data quality ensure compliance with data governance policies and drive data literacy for accurate AI-driven outcomes This role will help advance the maturity of our ES data management capabilities across the organization Responsibilities Data Profiling and Monitoring Proactively analyze ES data sources to identify quality issues inconsistencies and anomalies Develop and maintain data quality dashboards and scorecards to monitor the health of critical data elements CDEs over time Root Cause Analysis Investigate the source of data quality errors working across ES and IT DET to understand process or system breakdowns Recommend and help implement solutions to prevent future issues Data Cleansing and Remediation Lead and coordinate data cleansing initiatives defining the logic for corrections and working with Data Stewards Process Owners to execute cleanup efforts Rule and Standard Development Define and document data quality rules and standards for key ES data domains e g employee master data compensation recruiting Ensure these standards are embedded in business processes and systems Business Glossary and Data Dictionary Own and maintain the central ES business glossary and data dictionaries Define and document key business terms metrics and data elements to create a common language for all HR data stakeholders Data Lineage and Traceability Document the end-to-end flow of ES data from its source systems to its downstream consumption to ensure transparency and build trust in data Metadata Governance Classify ES data according to its sensitivity and usage Ensure that metadata is consistently captured maintained and accessible to authorized users Partnership Partner closely with the ES Ops team to identify the root cause of transactional data errors and recommend process improvements at the point of data entry to enhance accuracy and efficiency Collaboration Collaborate with COEs e g Talent Acquisition Compensation Talent Management to define and validate critical data elements establish quality thresholds for their domains and ensure their reporting and analytics needs are met with trusted data Data Engineering Design build and maintain data pipelines to extract and consolidate ES Ops data from diverse sources ex HRIS case management systems into Data platforms like Snowflake AWS Data Cloud Develop complex transformations using SQL and or Python to clean aggregate and model raw data into analysis-ready datasets specifically structured to power the ES Ops 360 dashboard Lead small to medium-sized projects related to data quality improvement or metadata implementation Develop project plans manage timelines and report on progress Define key data quality metrics and indicators and facilitate the development and implementation of supporting standards Qualifications 7 years of operational or consultant experience in data management operations and governance roles Proven expertise in core HR functions and end-to-end processes coupled with direct experience in an HR Operations or shared services environment Experience using Python and strong SQL skills to write scripts that automate data tasks such as pulling data from different systems and cleaning it for analysis Ability to prepare and structure data tables that are used to build and power Tableau dashboards Excellent work ethic Exhibits ability to self-manage scope prioritize and communicate operational work results and deadlines on an ongoing basis Strong interpersonal verbal and written communication skills Can work autonomously and make independent decisions to meet deliverables with minimal oversight Be passionate about continuous improvement and want to continue learning to stay relevant to business changes and industry trends Proficient in SQL with a thorough understanding of data and systems infrastructure Unleash Your Potential When you join Salesforce you ll be limitless in all areas of your life Our benefits and resources support you to find balance and be your best and our AI agents accelerate your impact so you can do your best Together we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love Apply today to not only shape the future but to redefine what s possible for yourself for AI and the world Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment What does that mean exactly It means that at Salesforce we believe in equality for all And we believe we can lead the path to equality in part by creating a workplace that s inclusive and free from discrimination Any employee or potential employee will be assessed on the basis of merit competence and qualifications - without regard to race religion color national origin sex sexual orientation gender expression or identity transgender status age disability veteran or marital status political viewpoint or other classifications protected by law This policy applies to current and prospective employees no matter where they are in their Salesforce employment journey It also applies to recruiting hiring job assignment compensation promotion benefits training assessment of job performance discipline termination and everything in between Recruiting hiring and promotion decisions at Salesforce are fair and based on merit The same goes for compensation benefits promotions transfers reduction in workforce recall training and education