AVP - Data & Cloud Transformation

Job Description

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.