Salesforce Technical Manager - Core Data
Salesforce
- Location
- India Hyderabad
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 498 approvals (FY2023)
- Posted
- Aug 13, 2026
Skills
About this role
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 Customer Success 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. Salesforce is currently seeking a Manager, Technical Consulting to join our Global Delivery Centre (GDC) team. Our Manager, Technical Consulting role plays a meaningful part in managing, training, and building the careers of our technical consulting team. In addition to people leadership, career coaching, and project oversight responsibilities for the team, you will build our Core Data practice through leading internal initiatives, contributing to the technical practice business plan, developing methodology, creating team enablement, onboarding new architects, and recruiting to build the team. This role is 50% billable and in addition to team leadership, you will work with our customers and partners as a Data Architect to solve critically important business challenges using Salesforce’s platform and core data fundamentals.
Responsibilities
You will be required to deliver technical work (as a data/technical architect) on billable projects at 50% utilization and balance that with leading your team of Technical Consultants/Architects Define and govern the overall data architecture strategy across Salesforce orgs, ensuring scalability, security, and alignment with enterprise data standards Own end-to-end data migration strategy and execution — covering discovery, profiling, cleansing, transformation, load, and validation Advise clients on Salesforce object model best practices — standard vs. custom objects, relationships (lookup, master-detail, polymorphic), and schema design Lead decisions on data access patterns, sharing model, OWD, role hierarchy, and field-level security as they relate to data architecture Establish data governance frameworks, data ownership models, and data stewardship practices Design solutions across multi-org, multi-cloud, and hybrid data environments You’ll have up to 15 direct reports under your scope of responsibility. You’ll be responsible for hiring, training, and mentoring our Technical Consultants so they can implement successfully in turning the program design of our Solution Architects and Technical Architects into highest-quality solutions that meets the customers’ needs, ensuring continuous team enablement across modern AI coding environments. Serve as a trusted advisor to the client, guiding customers and colleagues in rationalizing and deploying emerging technologies and Enterprise AI Architecture frameworks that drive increased business value. Identify and lead internal critical initiatives to grow the practice; serving as an active contributor to the community’s overall knowledge base and expertise, championing an AI-First Delivery & Engineering model across your delivery team. Work closely on projects with Delivery Managers, Solution Architects, and directly with clients to architect technology solutions to meet client needs. Lead Enterprise Architecture and Governance for an enterprise-level customer engagement. Serve as a trusted advisor to the client driving conversations with their Enterprise Architects and business stakeholders that shape the architectural vision, integrate scalable predictive/generative AI elements securely, and establish a program