Data & Cloud Transformation Leader

Positions: 1 full-time position

Experience: 10–20 years

Skills and Qualifications

• Experience: 18+ years in data and cloud transformation, with a proven track record leading pre-sales efforts and client-facing engagements. Experience managing large-scale data transformations, cloud migrations, or similar initiatives.
• Technical proficiency: Strong understanding of cloud platforms (AWS, Azure, GCP), data engineering and 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 and leadership: Excellent communication and presentation skills, including the ability to explain complex technical concepts to senior executives, influence stakeholders, and communicate a strategic vision for clients’ data and cloud transformation journeys.
• Problem-solving and consulting: Strong consulting skills and the ability to assess complex client requirements, recommend tailored solutions, identify process improvements, and drive technology-enabled business transformation.
• Pre-sales and business development: Demonstrated success with pre-sales activities, including responding to RFPs, developing proposals, leading client presentations, and closing new business. Ability to understand client challenges and align them with appropriate technical solutions.
• Project and team management: Experience leading and collaborating with cross-functional teams to deliver projects successfully and on time. Strong organizational skills and ability to manage multiple tasks.
• Content creation: Ability to create and curate proposals, presentations, and client-facing documents, with excellent writing skills.
• Education: Bachelor’s or master’s degree in computer science, engineering, business, or a related field.
• Preferred certifications: Cloud certifications (AWS, Azure, GCP), data engineering or architecture certifications, or similar industry-recognized qualifications.

Roles and Responsibilities

• Strategic vision and client engagement
  • Lead the development and execution of data and cloud transformation strategies for customers, demonstrating the business value and long-term benefits of modern data and cloud solutions.
  • Engage with senior customer leaders, including CXOs, directors, and VPs, to understand their data challenges, objectives, and growth ambitions.
  • Define each client’s transformation journey, from assessment through execution, with actionable insights, timelines, and milestones.
  • Propose solutions and strategic roadmaps aligned with customer goals, and develop business cases for data and cloud transformation initiatives.
• Pre-sales leadership
  • Serve as a trusted client advisor through technical discussions, workshops, and presentations on data and cloud transformation.
  • Work with sales teams to generate business opportunities, develop proposals, and lead RFP responses.
  • Collaborate with data architects, cloud engineers, data scientists, and other teams to develop client-specific solutions and proposals.
• Technical expertise and thought leadership
  • Provide technical guidance based on knowledge of cloud platforms (AWS, Azure, GCP), data engineering, data architecture, cloud-native technologies, and modernization strategies.
  • Stay current with developments in data engineering, cloud computing, data lakes, cloud data platforms, and digital transformation.
  • Create client- and team-facing content, including solution briefs, white papers, and pitch decks.
• Internal collaboration and mentorship
  • Work with internal teams to align pre-sales, technical delivery, and customer expectations.
  • Mentor junior team members and other stakeholders, fostering knowledge-sharing and collaboration.
  • Contribute feedback to improve internal processes, tools, and approaches for delivering data and cloud transformation services.
• Customer relationship management
  • Build and maintain relationships with customer stakeholders and decision-makers, supporting customer satisfaction throughout engagements.
  • Identify upsell and cross-sell opportunities within existing accounts by aligning solutions with clients’ evolving business needs.
  • Understand customer needs, map them to potential solutions, and serve as the lead point of contact for technical queries.
• Metrics and reporting
  • Develop and track key performance indicators (KPIs) for delivery of data and cloud transformation roadmaps.
  • Measure and communicate the outcomes of data transformation initiatives to customers and internal stakeholders.