Associate Director, Technology Strategy & Innovation
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Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
We are seeking an Associate Director Technology Strategy & Innovation to drive strategic technology alignment innovation initiatives data-driven decision-making and AI adoption across business and technology teams.
This role operates at the intersection of business strategy data advanced analytics and emerging technology serving as a trusted advisor to senior stakeholders. You will help shape technology roadmaps lead complex cross-functional initiatives prototype solutions and champion innovation that improves business performance efficiency and scalability.
This is a senior individual contributor and leadership role suited for someone who thrives in fast-paced high-impact environments excels in ambiguous problem-solving and can translate complex technology into measurable business outcomes.
Key Responsibilities
Strategic Business & Technology Partnering
- Act as a senior technology advisor to business leaders and functional teams
- Lead executive-level governance forums to align business priorities roadmaps risks and delivery outcomes
- Anticipate technology implications of business expansion new initiatives and operational transformation
- Bridge business agility and IT governance ensuring innovation without compromising stability compliance or scalability
- Translate strategic objectives into scalable enterprise-ready technology plans
Technical Analysis Prototyping & Data Strategy
- Leverage SQL and Python to analyze enterprise datasets and validate business logic
- Build proof-of-concepts rapid prototypes and data-driven insights to test ideas before engineering implementation
- Assess data quality integrity and system outputs to ensure accurate reporting and analytics
- Partner with engineering and delivery teams to ensure solutions align with real operational needs and workflows
Innovation AI & Advanced Analytics Leadership
- Serve as a subject matter expert on AI/ML applications in business contexts
- Identify and prioritize high-impact use cases for Generative AI Predictive Analytics and Intelligent Automation
- Educate business leaders on AI model behavior risks limitations governance and value potential
- Champion AI adoption to improve decision intelligence productivity and operational efficiency
- Monitor emerging technology trends digital innovation and industry best practices
- Develop and maintain a technology and innovation roadmap aligned with business strategy
Leadership Influence & Delivery Excellence
- Lead cross-functional collaboration across Business Data Engineering Product and Operations teams
- Influence senior leaders and manage competing priorities in high-pressure environments
- Apply structured thinking and data-driven frameworks to solve complex ambiguous business challenges
- Foster a culture of accountability innovation continuous improvement and technical excellence
- Mentor team members and contribute to organizational capability building
Required Qualifications
Experience & Domain Expertise
- 710 years of experience in Technology Strategy Data Digital Transformation or Enterprise Systems
- Proven experience advising senior business stakeholders and executive leadership
- Strong understanding of enterprise platforms data ecosystems and technology operating models
- Experience working in large-scale complex organizations or regulated environments
Technical Skills
- Advanced proficiency in SQL (complex joins data modeling optimization)
- Strong proficiency in Python for analytics automation and prototyping (pandas numpy)
- Solid understanding of AI/ML concepts and practical business applications
- Experience translating data science concepts into real-world business workflows
- Comfortable working with large datasets analytics platforms and data pipelines
Soft Skills & Leadership Traits
- Exceptional communication executive presence and stakeholder influence
- Ability to simplify and explain complex technical topics to non-technical audiences
- Strong strategic mindset with an enterprise-wide perspective
- Confident decision-maker in high-impact high-ambiguity environments
- Proven ability to challenge assumptions prioritize effectively and drive outcomes
Education
- Bachelors degree in Computer Science Engineering Business or a related field
- MBA Masters degree or relevant certifications are a strong advantage
Key Skills
- Business Development
- Marketing
- Pricing
- Analysis Skills
- Research Experience
- Project Management
- Research & Development
- Strategic Planning
- Financial Modeling
- Leadership Experience
- Management Consulting
- Analytics
