Highspring

Job Summary:
Highspring is a consulting firm that focuses on delivering data and analytics solutions to Fortune 100 brands and mid-market firms. The Manager, Data & Analytics will lead projects to design and build data warehouses, develop data pipelines, and implement analytics solutions, while collaborating with clients to address their data challenges and business objectives.
Responsibilities:
• Design and build modern data warehouses and analytics-ready data models.
• Develop scalable, reliable data pipelines using cloud-based data platforms.
• Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders.
• Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions.
• Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines.
• Present findings, recommendations, and solution designs to both technical and non-technical audiences.
• Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code.
• Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts.
• Actively participate in internal knowledge sharing, mentoring, and career development activities.
• Support the shaping of the strategic direction of our growing AI/ML, automation, and Data Analytics practice.
• 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 can leverage AI, ML, and other advanced data modeling concepts).
• Identify insights through use of statistical, algorithmic, mining and visualization techniques.
• Conduct interviews with client stakeholders to identify 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.
Qualifications:
Required:
• 4+ years of data analytics, AI, ML, or GenAI experience
• 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%.
Preferred:
• 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.
Company:
MorganFranklin Consulting is now Highspring, a leading global professional services organization with three integrated offerings—Consulting, Managed Services, and Talent Solutions. Founded in 1998, the company is headquartered in Mclean, USA, with a team of 501-1000 employees. The company is currently Late Stage.