Data Cloud Marketing Strategist
3 days ago
LTIMindtree seeks an experienced professional for a Salesforce Data Cloud role in India.
Estimated salary: ₹ 1,200,000 - ₹ 2,400,000 per annum.
Job Summary:
We are seeking a seasoned expert to join our team and lead the implementation of Salesforce Data Cloud solutions. The ideal candidate will have extensive knowledge of data management, customer segmentation, and analytics within the Salesforce environment.
Key Responsibilities:
Data Management & Integration: Oversee the collection, cleansing, and management of customer data from various sources, ensuring data accuracy and consistency within Salesforce Data Cloud.
Customer Segmentation & Personalization: Develop advanced customer segmentation strategies using Salesforce Data Cloud to enable personalized marketing campaigns and customer journeys.
Analytics & Reporting: Create comprehensive dashboards and reports within Salesforce Data Cloud to track key performance metrics, customer behaviors, and campaign effectiveness.
Data Governance & Compliance: Ensure adherence to data governance policies, including data privacy regulations like GDPR and CCPA, within Salesforce Data Cloud and related marketing platforms.
Cross-Functional Collaboration: Work closely with marketing, sales, and IT teams to align data strategies with business objectives and drive marketing automation initiatives.
Continuous Improvement: Stay up-to-date with Salesforce product updates, best practices, and industry trends to continuously enhance the organization's use of Salesforce Data Cloud.
Required Skills & Qualifications:
- Experience: 6+ years of hands-on experience in Salesforce Marketing Cloud (SFMC) or Pardot or MCP or any other Leading Marketing Automation Platform, with a strong focus on data management and customer analytics.
- Salesforce Data Cloud Expertise: Proven experience with Salesforce Data Cloud (Customer Data Platform), including its implementation, configuration, and optimization.
- Technical Skills: Proficiency in SQL, data modelling, and data integration techniques. Experience with APIs and ETL processes is a plus.
- Analytical Mindset: Strong analytical skills with the ability to interpret complex data sets and translate them into actionable marketing strategies.
- Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
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