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The Team - Data Analytics

Our Data & Analytics practice is comprised of functional and technical experts in the areas of Data Strategy (understanding, governing), Modernization (tools, storage, migration, usage, etc.) and Transformation (automation, machine learning, artificial intelligence, reporting). We help clients maximize value from new and existing technology investments by enabling data driven decisions that drive businesses forward. We are hands on strategists that have built and implemented data strategies for some of the world's most innovative companies and leverage that experience to help companies of all sizes improve their data strategies and architecture.

You Are

Someone who knows how to lead and deliver, driven by seamless project execution. You're not only concerned with the success of the project, but you're building positive relationships with clients along the way. You're setting their expectations and ensuring the standard of work is in line with promises made. There are a lot of moving pieces, but you've got the work ethic to stay on top of it all.

You are a team-builder and problem-solver. You stay updated on new products and technologies. You have hands-on experience using f data, automation, and AI/ML tools and applications to creatively design, prototype, and implement solutions for your clients. You know that collaboration is key, so you look for ways to share and source best practices. If there's a new way to do something that improves outcomes for clients, you'll find it.

Your Impact

• Perform in a leadership and Solution Architect role, helping with shaping the strategic direction of our growing AI/ML, automation, and Data Analytics practice.
• Educate internal and external audiences on best practices.
• Deliver on projects in the areas of data management, data governance, dashboard monitoring, DQ dashboards, data controls, data lineage, and data mapping.
• Support data transformation initiatives across a range of service lines, including:
• M&A Lifecycle (integrations, divestitures, and carveouts)
• Finance Transformation
• Enterprise Data Strategy / Governance Standup
• Process Improvement and Automation
• System Implementations / Migrations
• Data and Automation Strategy and Road mapping (including how companies canleverage AI, ML, and other advanced data modeling concepts)
• Identify insights through use of statistical, algorithmic, mining and visualization techniques.
• Conduct interviews with client stakeholders toidentify process and data challenges.
• Document and present findings to both technical and non-technical audiences.
• Develop analytical proof-of-concept prototypes and/ or deliver large-scale analytical platform implementations to fulfill clients' tactical and strategic requirements.
• Develop business procedures and data management policies for ensuring data accuracy and control.
• Create model documentation,develop implementation roadmaps, and perform knowledge transfers.
• Identify, design, and implement creative business solutions to continually improve the firm's methodology and approach.
• Lead project teams, share your individual subject matter expertise, and be a primary liaison to our clients.
• Create and deliver presentations on technical concepts, project work plans, delivery approach, milestones, and results to client stakeholders and customers at senior executive levels.
• Actively participate in career development activities and technical training of staff.

Here is what you need:

• 8+ years of AI, ML, and GenAI experience within Tier 1/Tier 2 consulting or professional services firms.
• Experience architecting and developing AI/ML solutions.
• Experience programming in Python, SQL, and/or R.
• Experience using GitHub (e.g., source code management).
• Comprehensive knowledge of modern statistical learning methods.
• Experience using applied statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets.
• Experience with any of the following commercial analytics, automation, and AI/ML tools: Alteryx, Power BI, Tableau, Power Automate, UiPath, Automation Anywhere, AI/ML/GenAI platforms, Informatica, Oracle EDMC, etc.
• Proven ability to lead, motivate and build teams that deliver services and solutions that surpass client expectations.
• Ability to lead workshops, including the gathering/documenting of requirements and use-cases and recommendation of envisioned processes.
• Experience presenting to CXO suite.
• Industry experience within Financial Services, Technology/SaaS, and/or Supply Chain.
• Understanding of typical software development lifecycles (Waterfall and Agile) and their associated lifecycle artifacts.
• Experience with identifying and correcting problems in imperfect data and processes.
• Bachelor's degree in Mathematics, Statistics, Computer Science, Information Systems, or other technology-related field or equivalent number of years of experience
• Flexibility to accommodate travel up to 25%.

Bonus points if you have the following:

• Strong business skills and experience in accounting, corporate finance, and FP&A.
• Familiarity with the M&A transaction lifecycle.
• Master's degree in Information Technology, Statistics, Physics, Analytics or related field.
• Experience managing technical development by acting as a liaison between the technical team and the user community.