Data & Cloud Transformation Leader
Full - Time Only
Location - Santa Clara CA
Must Have-
Transformation, cloud migration, Modernization, Architecture, Solution Architecting
Skills and Qualifications:
Experience: 18+ years of experience in the data and cloud transformation space, with a proven track record of leading pre-sales efforts and client-facing roles. Experience in managing large-scale data transformations, cloud migrations, or similar initiatives.
Technical Proficiency: Strong understanding of cloud platforms (AWS, Azure, Google Cloud Platform), data engineering, data architecture, data pipelines, big data solutions, and cloud-native services. Familiarity with data lakes, cloud data warehouses, data fabrics, and machine learning is a plus.
Communication & Leadership: Exceptional communication and presentation skills, with the ability to clearly articulate complex technical concepts to senior executives. Proven ability to influence stakeholders at all levels and communicate a strategic vision for the client’s data and cloud transformation journey.
Problem-Solving & Consulting: Strong consulting skills with the ability to analyze complex client requirements and provide tailored solutions. Excellent at identifying opportunities for process improvements and driving business transformation through technology.
Pre-Sales & Business Development: Demonstrated success in pre-sales activities, including responding to RFPs, developing proposals, leading client presentations, and closing new business. Ability to understand client business challenges and align them with the right technical solutions.
Project & Team Management: Experience in leading and collaborating with cross-functional teams, ensuring timely and successful project delivery. Strong organizational skills and the ability to juggle multiple tasks at once.
Hands-on with Content Creation: Ability to be hands-on in creating and curating content for proposals, presentations, and client-facing documents. Excellent writing skills to produce clear and concise technical and business content.
Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or a related field.
Certifications (Preferred): Cloud certifications (AWS, Azure, Google Cloud Platform), Data Engineering or Architecture certifications, or similar industry-recognized qualifications are a plus.
Roles & Responsibilities
Strategic Vision & Client Engagement:
Lead the development and execution of a data and cloud transformation strategy for customers, showcasing the business value and long-term benefits of adopting modern data and cloud solutions.
Interact with senior customer leaders (CXOs, Directors, VPs) to understand their data challenges, objectives, and growth ambitions.
Define the client’s data transformation journey, from assessment to execution, offering clear and actionable insights, timelines, and milestones.
Propose innovative solutions and strategic roadmaps that align with customer goals and create compelling business cases for the adoption of data and cloud transformation initiatives.
Pre-Sales Leadership:
Serve as a trusted advisor to clients by holding technical discussions, facilitating workshops, and delivering presentations on data and cloud transformation topics.
Work closely with sales teams to generate new business opportunities, develop proposals, and lead RFP responses.
Collaborate with cross-functional teams, including data architects, cloud engineers, and data scientists, to build client-specific solutions and proposals.
Technical Expertise & Thought Leadership:
Provide high-level technical guidance and direction, leveraging a deep understanding of cloud platforms (AWS, Azure, Google Cloud Platform), data engineering principles, data architecture, cloud-native technologies, and modernization strategies.
Maintain a strong technical track record and stay current with the latest trends and technologies in data engineering, cloud computing, data lakes, cloud data platforms, and digital transformation.
Be hands-on with creating content, including solution briefs, whitepapers, and pitch decks, to present to clients and internal teams.
Internal Collaboration & Mentorship:
Work closely with internal teams to ensure alignment between pre-sales, technical delivery, and customer expectations.
Mentor and guide junior team members and other key stakeholders within the organization, fostering a culture of knowledge-sharing and collaboration.
Provide feedback and contribute to the continuous improvement of internal processes, tools, and approaches for delivering Data & Cloud Transformation services.
Customer Relationship Management:
Build and maintain strong relationships with customer stakeholders and decision-makers, ensuring a high level of customer satisfaction throughout the engagement.
Identify and drive upsell and cross-sell opportunities within existing accounts by aligning new data and cloud solutions with the client’s evolving business needs.
Understand customer pain points, map them to potential solutions, and act as the lead point of contact for technical queries.
Metrics & Reporting:
Develop and track key performance indicators (KPIs) for the successful delivery of the data and cloud transformation roadmap.
Measure and communicate the success of data transformation initiatives, providing regular updates to customers and internal stakeholders.
