Digital Strategy Engineer Senior Consultant

Your Journey at Crowe Starts Here:

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

Job Description:

As a Digital Strategy Engineer - Senior Consultant with our Tech Advisory team, you will leverage your expertise in data engineering and business strategy to design scalable solutions that drive digital transformation. Working directly with private equity clients and their portfolio companies, you will be a self-starter that can evaluate operations, craft strategies to enhance performance, pitch the proposals, and then execute them. This role combines technical problem-solving and strategic business insight to define internal processes, develop system automation, and implement these frameworks for our clients.

Key Responsibilities include:

Strategic Evaluation and Execution

• Assess portfolio company operations, identify inefficiencies, and recommend strategic improvements based on data-driven insights.

• Lead the implementation of proposed solutions, including system automation and digital transformation initiatives.

Data Engineering and Automation

• Design and deploy data integration solutions to consolidate information from diverse systems and enable scalable operations.

• Implement AI and machine learning models to enhance automation, predictive analytics, and decision-making processes.

• Develop Python-based tools and scripts to automate manual processes, enhance operational efficiency, and reduce errors.

Process Optimization and Framework Design

• Define internal processes and frameworks that enhance scalability, improve data quality, and reduce manual intervention.

• Implement governance and automation frameworks that drive long-term efficiency and support data-driven decision-making.

Client Collaboration and Proposal Development

• Engage with clients to understand their unique challenges and align technical solutions with business objectives.

• Develop and present clear, actionable proposals to clients, securing buy-in and demonstrating value.

#LI-SAW #LI-Remote

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Industrial/Systems Engineering, Information Systems/Information Technology, or related Engineering degree required

• Must have at least 2 years of experience in Consulting or a related field, Developer, AI/ML Engineer, Data Scientist / Engineer, Cloud Engineer / Architect

• Previous work Experience with ERPs, Private Equity, and Manufacturing & Distribution is a plus

• Excellent problem-solving skills and the ability to think strategically

• Exceptional communication and presentation skills

• Strong project management skills with a track record of successfully delivering complex projects

• Ability to work independently and as part of a team

• Remoted work arrangement with in-office work as needed.

• Travel 25–50% to client sites.

Required Technical Skills

• Python for Automation: Advanced proficiency in Python to automate data workflows, operational processes, and repetitive tasks. Strong experience with libraries such as pandas, NumPy, and scripting for process optimization.

• Cloud Platforms: Familiarity with Azure or similar cloud platforms for data storage, orchestration, and processing (e.g., Blob Storage, Data Factory).

• Financial Statements and Business KPIs: Solid understanding of financial statements (e.g., income statements, balance sheets) and key business performance indicators (KPIs) to analyze operations and inform data-driven recommendations.

• Enterprise Developer Operations: Proficiency in Git and enterprise-grade code collaboration tools, with experience in CI/CD pipelines, and version control best practices.

Bonus Skills