Help internal and external product engineering organizations improve cost, quality, and time to market

Elicit relevant information through formal and informal interviews, surveys, and system data analysis

Ideate and socialize solutions collaboratively through different workshops

Tailor and design crisp and clear messages for executives on how to execute change

Contribute to consulting practice by designing new service offerings and improving methodologies

Embed AI and automation insights into consulting solutions

Conduct research in domain expertise such as engineering, operations, organization, architecture, data, and product management

Prepare and deliver publications and presentations within and beyond the organization

Participate in pre-sale and sales activities including RFP responses, executive meetings, proposal preparation, and SOW development

Advanced graduate degree such as master's degree, MBA, or PhD

7+ years of software industry experience in engineering, infrastructure, quality assurance, architecture, or data science

Deep understanding of software development lifecycle

Experience with software development methodologies including SCRUM, XP, Kanban, and SAFe

Fluency in technical engineering best practices such as test-driven development, pair programming, code review, continuous integration, trunk-based development, feature toggling, test automation, and infrastructure as code

Practical experience conducting workshops at director and executive levels

Data-driven strategist with proficiency in Python or R for complex data analysis

Experience in business development or pre-sales activities including proposal crafting and client presentations

Strong communication skills in English, both verbal and written

Team player with strong facilitation and moderation skills

Spanish language proficiency