Estoras Group
Senior Business Transformation Consultant – AI Strategy, Growth & Innovation
Be an Early Applicant
Lead executive interviews, stakeholder workshops, and current-state assessments to identify operational gaps and opportunities. Develop business cases, operating models, governance, KPIs, roadmaps, and practical AI-enabled solutions. Advise on AI strategy, innovation, commercialization, customer experience, and change management. Support transition of recommendations to delivery teams and occasionally participate in business development.
This is a remote position.
Title: Senior Business Transformation Consultant – AI Strategy, Growth & Innovation
Company: SAMI ( Sales Automation marketing Intelligence 2.0 )
Engagement Type: Independent Contractor
Location: Remote-friendly, with availability for client meetings and workshops as required
Overview
SAMI is seeking an experienced Senior Business Transformation Consultant – AI Strategy, Growth & Innovation to advise the firm and its clients on business transformation, organizational effectiveness, AI strategy, innovation, commercialization, and customer experience.
The consultant will work with executive and operational stakeholders to assess current business practices, identify opportunities for improvement, and develop practical recommendations, operating models, governance frameworks, and implementation road-maps.
This is a senior, client-facing advisory role suited to someone who combines strategic thinking with strong operational judgment and the ability to translate emerging technology into practical business applications.
Key Responsibilities
Lead executive interviews, discovery sessions, stakeholder workshops, and current-state assessments.
Analyze organizational structures, management practices, workflows, systems, customer journeys, and performance measures.
Identify operational gaps, business risks, inefficiencies, and opportunities for transformation.
Develop findings, recommendations, business cases, operating models, and implementation road-maps.
Advise clients on practical and responsible applications of AI, automation, data, and emerging technologies.
Design governance structures, roles, decision rights, approval processes, KPIs, and reporting practices.
Support organizational change through stakeholder alignment, documentation, training, and adoption planning.
Advise on growth strategy, market positioning, service development, commercialization, and customer experience.
Develop innovation concepts, service frameworks, playbooks, and technology-enabled business solutions.
Participate in client and commercial discussions as a subject-matter adviser.
Assess implementation requirements, delivery risks, resource needs, dependencies, and expected business value.
Support the transition of approved recommendations to project and delivery teams.
Business and opportunity development may form part of the engagement, but the position is primarily focused on management consulting and client advisory services rather than routine sales activities.
Measures of Success
Success in the role will be demonstrated through:
Clear, practical, and well-supported consulting recommendations.
High-quality assessments, road-maps, business cases, and client deliverables.
Strong executive and stakeholder alignment.
Effective translation of business needs into practical operating and technology solutions.
Measurable improvements in organizational clarity, efficiency, adoption, customer experience, and decision-making.
Successful transition of approved recommendations into implementation.
Working Style
The successful consultant will be client-facing, collaborative, analytical, and comfortable working across strategic, operational, technological, creative, and commercial disciplines. The role requires strong personal accountability, sound professional judgment, disciplined documentation, and a practical approach to AI and innovation.
Requirements
Qualifications
Significant professional experience in management consulting, business transformation, strategy, innovation, technology, marketing, operations, or customer experience.
Demonstrated ability to advise executives and facilitate senior stakeholder discussions.
Experience assessing organizations, operating models, workflows, and management practices.
Strong understanding of AI, automation, digital platforms, data, and technology-enabled transformation.
Experience developing business cases, recommendations, road-maps, governance frameworks, and performance measures.
Strong commercial judgment and the ability to evaluate strategic fit, feasibility, risk, and business value.
Excellent written, presentation, workshop-facilitation, and stakeholder-management skills.
Ability to work independently across multiple client engagements and complex priorities.
Bachelor’s degree or equivalent combination of education and relevant professional experience.
Preferred Experience
Experience commercializing technology-enabled services or new business concepts.
Background in customer-experience strategy, service design, innovation, creative technology, or interactive systems.
Familiarity with CRM, ERP, marketing automation, analytics, and workflow platforms.
Experience supporting AI adoption, organizational change, training, or stakeholder enablement.
Experience working in an enterprise-consulting, professional-services, agency, SaaS, or multi-client environment.
Similar Jobs
Big Data • Information Technology • Software • Analytics • Energy
Extract, transform, validate, and load client PDFs and structured data into the MineralSoft platform using AI-driven extraction and ETL tools. Configure datasets, run queries and reports, troubleshoot integrations with EnergyLink, and ensure data quality and consistency while collaborating with cross-functional teams.
Top Skills:
Ai-Based Document Extraction ToolsAi-Enabled ToolsCsvEnergylinkETLExcelJSONMineralsoft
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Build and own technically complex, end-to-end full-stack features and platform capabilities for AI-driven IoT products. Define technical strategy, ship backend/frontend/mobile work, scale data ingestion and APIs, partner with product/design/customer teams, mentor engineers, and drive cross-team projects from ambiguous problems to measurable outcomes.
Top Skills:
CursorGoIotJavaScriptLlmsPythonReactTelematicsTypescript
Big Data • Fintech • Mobile • Payments • Financial Services
Lead technical strategy and execution for the shared mobile app infrastructure, build and maintain React Native and native modules, improve observability, CI/CD, releases and developer tooling, define standards and runbooks, mentor engineers, coordinate cross-functional trade-offs, and ensure production availability and quality across mobile products.
Top Skills:
AppiumClaude CodeCrashlyticsExpoJavaScriptLaunchdarklyMaestroReact NativeRedux ToolkitSentryStatsigTypescript
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
