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Data Implementation Strategist
2 months ago
**Job Title:** Data Implementation Strategist
**Job Summary:** We are seeking a highly skilled Data Implementation Strategist to join our team at Contingent Professionals. As a Data Implementation Strategist, you will be responsible for overseeing the data-first implementation approach of Salesforce and ensuring that all data-related aspects of the project are meticulously planned, executed, and optimized.
**Key Responsibilities:**
- Develop and Execute a Data Strategy: Develop and execute a data strategy tailored to the Salesforce Sales and Service Cloud implementation, ensuring seamless connectivity and data accuracy.
- Ensure Data Quality and Consistency: Ensure data quality, consistency, and accuracy throughout the project lifecycle, utilizing data profiling tools and relevant technologies.
- Estimate, Prioritize, and Plan Data-Related Activities: Estimate, prioritize, plan, and coordinate various data-related activities, including data deduplication, integration, and consolidation.
- Guide the Team with SDLC Methodologies: Guide the team with SDLC methodologies (Agile, Waterfall, Hybrid) and ensure adherence to industry best practices.
- Understand DB-Related Testing and ETL Requirements: Understand DB-related testing and ETL requirements, including source-to-target mappings and data lineage.
- Support System Integration Testing and User Acceptance Testing: Support and coordinate System Integration Testing (SIT), User Acceptance Testing (UAT), and participate in bug triage meetings.
- Ensure Data Accuracy and Reliability: Ensure data accuracy, consistency, and reliability throughout the project, utilizing data quality standards and best practices.
- Manage Data Deduplication Processes: Manage data deduplication processes to eliminate redundant information and ensure data consistency.
- Validate Migration and Integration of Data Sources: Validate migration and integration of data sources and systems with Salesforce, ensuring seamless connectivity and data accuracy.
- Document and Track Data Lineage: Document and track data lineage from source to target systems, utilizing data profiling tools and relevant technologies.
- Lead Data Consolidation Efforts: Lead data consolidation efforts to unify and standardize data across platforms, ensuring data accuracy and consistency.
- Collaborate with Project Managers and Developers: Collaborate with project managers, developers, and business analysts to meet data quality standards and ensure project success.
- Generate and Present Detailed Data Reports: Generate and present detailed data reports to stakeholders, utilizing data visualization tools and techniques.
**Required Qualifications:**
- Minimum 10 Years of Experience: Minimum 10 years of experience with a focus on data quality and integration, utilizing data profiling tools and relevant technologies.
- Understanding of Salesforce Sales and Service Cloud: Understanding of Salesforce Sales and Service Cloud, administration, and architecture, including data integration and data quality standards.
- Proficiency in SQL and Data Profiling Tools: Proficiency in SQL, data profiling tools, and relevant technologies, including data visualization tools and techniques.
- Experience in Automation: Experience in automation using any tool, including data integration and data quality automation.
- Strong Analytical and Problem-Solving Skills: Strong analytical and problem-solving skills with attention to detail, utilizing data quality standards and best practices.
- Excellent Communication Skills: Excellent communication skills for conveying technical information to non-technical stakeholders, utilizing data visualization tools and techniques.
- Highly Organized: Highly organized with the ability to guide the team toward industry best practices, utilizing project management methodologies and tools.
- Salesforce Certifications: Salesforce certifications (e.g., Salesforce Administrator) are a plus, utilizing data quality standards and best practices.
- Bachelor's Degree in Computer Science or Information Technology: Bachelor's degree in Computer Science, Information Technology, or a related field, utilizing data quality standards and best practices.
**Preferred Qualifications:**
- Experience Leading a Team or Project: Experience leading a team or project, utilizing project management methodologies and tools.
- Experience with Data Deduplication and ETL Processes: Experience with data deduplication and ETL processes, utilizing data quality standards and best practices.
- Knowledge of Data Lineage and Data Consolidation Techniques: Knowledge of data lineage and data consolidation techniques, utilizing data quality standards and best practices.
- Salesforce Certifications: Salesforce certifications (e.g., Salesforce Administrator) are a plus, utilizing data quality standards and best practices.
- Familiarity with Project Management Methodologies and Tools: Familiarity with project management methodologies and tools, including JIRA, Confluence, Azure DevOps, and data visualization tools and techniques.
- Experience in the Consulting Industry: Experience in the consulting industry and familiarity with various business processes, utilizing data quality standards and best practices.