Senior Manager, Data & Analytics

Highspring•McLean, VA

2d•$162,415 - $256,356

About The Position

We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way. Embrace new challenges and deliver real value to some of the world’s most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning. Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments.

Requirements

5+ 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%.

Nice To Haves

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.

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
Perform in a leadership and Solution Architect role, helping with shaping 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.