Senior Leader – Data & Cloud Transformation

Senior Leader Data & Cloud Transformation Role Overview

We are seeking an experienced, client-facing technology leader with 18+ years of experience in data and cloud transformation, technology consulting, and pre-sales. The role involves engaging senior executives, identifying strategic business opportunities, shaping enterprise transformation roadmaps, and leading complex pursuits from initial client discussions through solution development, commercial closure, and delivery mobilization.

The ideal candidate combines strong technical expertise, commercial acumen, executive communication, and the ability to translate business challenges into scalable, outcome-driven data and cloud solutions.

Key Responsibilities 1. Strategic Vision & Client Engagement

• Build trusted-advisor relationships with CXOs, Directors, VPs, and senior technology and business leaders to understand enterprise priorities, data challenges, and growth objectives.

• Define and execute data and cloud transformation strategies, from current-state assessment through implementation, with clear roadmaps, timelines, milestones, and governance.

• Develop innovative solutions and compelling business cases aligned with client objectives, demonstrating measurable business value and long-term transformation benefits.

• Lead executive briefings, technical discussions, workshops, and presentations to communicate strategic recommendations and transformation opportunities.

2. Pre-Sales Leadership & Business Development

• Identify and develop new business opportunities in data and cloud transformation, partnering with sales teams to build qualified pipelines and drive business growth.

• Lead complex pursuits, including opportunity qualification, RFP responses, proposal development, solution shaping, client presentations, negotiations, and commercial closure.

• Translate client requirements into tailored solutions, value propositions, and investment cases aligned with business outcomes.

• Collaborate with data architects, cloud engineers, data scientists, and other cross-functional teams to develop integrated, client-specific solutions.

• Identify upsell and cross-sell opportunities within existing accounts based on evolving customer needs.

3. Technical Expertise & Thought Leadership

• Provide strategic technical guidance across cloud platforms (AWS, Azure, GCP), data engineering, data architecture, data pipelines, big data solutions, cloud-native services, and modernization strategies.

• Leverage knowledge of data lakes, cloud data warehouses, data fabrics, machine learning, and emerging data and cloud technologies to shape scalable transformation solutions.

• Maintain strong technical credibility and stay current with industry trends, modern architectures, and digital transformation practices.

• Develop and curate client-facing and internal content, including proposals, presentations, pitch decks, solution briefs, whitepapers, and other technical and business documents.

• Translate complex technical concepts into clear business narratives, quantified value propositions, and actionable recommendations.

4. Transformation Delivery & Performance Management

• Work closely with delivery, consulting, engineering, and other internal teams to align pre-sales commitments with technical execution and customer expectations.

• Remain engaged through key transition and delivery milestones to support successful execution of the transformation roadmap.

• Define and track key performance indicators (KPIs), monitor progress against agreed milestones, and communicate outcomes and business value to clients and internal stakeholders.

• Identify process improvements and contribute to the continuous enhancement of internal tools, methodologies, and service delivery approaches.

5. Leadership, Mentorship & Customer Relationships

• Build and maintain strong relationships with customer stakeholders and decision-makers, ensuring alignment, trust, and high levels of customer satisfaction.

• Serve as the primary point of contact for technical queries, understanding client pain points and mapping them to appropriate solutions.

• Lead and collaborate with cross-functional teams, manage multiple priorities, and ensure effective coordination throughout the opportunity lifecycle.

• Mentor junior team members and key stakeholders, promoting knowledge-sharing, collaboration, and continuous professional development.

Required Skills & Qualifications

• Experience: 18+ years in data and cloud transformation, technology consulting, or related fields, with a proven track record in client-facing leadership, pre-sales, large-scale data transformations, cloud migrations, and enterprise modernization initiatives.

• Technical Expertise: Strong understanding of AWS, Azure, GCP, data engineering, data architecture, data pipelines, big data, cloud-native technologies, and modernization strategies. Familiarity with data lakes, cloud data warehouses, data fabrics, and machine learning is advantageous.

• Pre-Sales & Commercial Acumen: Demonstrated success in opportunity development, RFP responses, proposal creation, client presentations, solution positioning, and winning new business.

• Strategic Consulting: Ability to assess complex business and technical requirements, develop tailored solutions, identify process improvements, and build transformation roadmaps and business cases.

• Executive Communication: Exceptional presentation, facilitation, storytelling, and writing skills, with the ability to influence stakeholders at all levels and articulate complex technical concepts to senior executives.

• Leadership & Collaboration: Proven ability to lead multidisciplinary teams, manage competing priorities, coordinate cross-functional stakeholders, and guide initiatives toward successful outcomes.

• Content Development: Hands-on experience creating and refining proposals, pitch decks, solution briefs, whitepapers, and client-facing technical and business documentation.

• Education: Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field.

• Preferred Certifications: Industry-recognized certifications in cloud platforms (AWS, Azure, GCP), data engineering, data architecture, or related technologies.

Key Success Measures

• Growth in qualified pipeline, new business wins, revenue, and account expansion.

• Strength of executive relationships and conversion of client discussions into funded transformation initiatives.

• Quality and competitiveness of proposals, solutions, and business cases.

• Successful alignment between pre-sales commitments, transformation execution, and measurable business outcomes.

• Customer satisfaction, stakeholder engagement, and continuous improvement in internal processes and team capabilities.