
Data Visionary: Lead Innovation and Growth
4 days ago
We are seeking a visionary leader to drive our strategic technology agenda and lead the development of future-ready platforms.
Key Responsibilities:- Define and evolve the solutions roadmap aligned with business goals.
- Stay ahead of emerging technologies, industry trends, and competitive landscape.
- Champion innovation to drive growth, efficiency, and differentiation with our solutions.
- Collaborate with leadership to define solutions roadmap.
Solutions Oversight:
- Lead design and evolution of scalable, secure, and high-performing solutions.
- Oversee selection and integration of platforms, tools, and infrastructure for our solutions.
- Ensure alignment with modern engineering practices and architectural standards.
Product & Engineering Leadership:
- Guide product and engineering teams on software development lifecycle, quality assurance, and DevOps practices.
- Drive agility, experimentation, and continuous improvement across engineering teams.
- Participate in technical discussions with stakeholders during sales activities.
Innovation & Technology Integration:
- Lead exploration, evaluation, and adoption of emerging technologies such as Generative AI, large language models, real-time analytics, and low-code platforms.
- Establish repeatable innovation processes including technology scouting, rapid prototyping, and proof-of-concept validation.
Stakeholder Collaboration:
- Act as a bridge between leadership, product, and engineering teams.
- Proactively communicate solutions vision and progress to internal stakeholders.
- Translate technical vision into business outcomes for both technical and non-technical audiences.
Performance & Delivery:
- Establish KPIs and reporting structures to measure success, impact, and continuous improvement of solutions delivery.
Requirements:
- 10+ years of progressive experience in Data, AI/ML, and technology leadership roles.
- Demonstrated success in developing and executing data and AI strategies that drive business value.
- Expertise in modern data architectures, AI/ML tools, and cloud-native development.
This role offers the opportunity to influence enterprise-wide technology decisions, foster a culture of data-driven thinking, and shape how advanced AI and data capabilities are embedded into both internal operations and client-facing solutions. To succeed, you must possess strong stakeholder engagement skills, experience influencing C-suite and senior decision-makers, and a proactive, solution-oriented mindset. A bachelor's degree in Computer Science, Engineering, Information Technology, or a related field is required, while a Master's degree is preferred.
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