Data Analytics Manager - Business Insights - Milford MA - Hybrid
Role details
Job location
Tech stack
Job description
Transformation at Waters Corporation (NYSE: WAT) is driving the next phase of enterprise evolution. Our mission is to accelerate integration, execution, and value capture while transforming the capabilities that power our business.
As part of this journey, we are building the data and analytics foundations required to enable integration, enterprise transparency, and advanced technologies such as AI-driven and predicative analytics capabilities. These capabilities support datadriven decisionmaking across the enterprise, enabling better insights, improved processes, and more efficient operations.
This is a unique opportunity to join a team at the center of Waters' transformation, working on highimpact initiatives that shape how leaders across the company understand performance and make decisions. Responsibilities
The Manager, Business Insights and their team operate at the intersection of business strategy, analytics, and technology. This role acts as the product owner for enterprise analytics and insight offerings, defining the vision, roadmap, and success measures for how data is translated into actionable insights.
You will partner closely with business leaders, data engineers, analysts, and product teams to ensure analytics solutions are businessrelevant, scalable, trusted, and outcomedriven. While not a pure handson engineering role, this position requires strong technical acumen to influence solution design, challenge assumptions, and ensure analytical rigor.
Analytics Product Ownership & Strategy Own the vision and roadmap for business intelligence and insights across key enterprise domains (e.g., transformation, value capture, sustainability, sales & orders, and operations).
- Translate business strategy and leadership questions into clear analytical problems, metrics, and products.
- Lead a Data Engineering and Analytics team to ensure data models, pipelines, and semantic layers support analytical needs.
- Prioritize initiatives based on business impact, feasibility, and strategic alignment.
- Define success criteria and adoption measures for analytics products and dashboards.
Business Partnership & Insight Delivery
- Lead the definition of KPIs, scorecards, and insight narratives that connect operational data to business outcomes.
- Act as a trusted thought partner to senior stakeholders, helping them interpret data, challenge narratives, and drive factbased decisions.
- Synthesize complex data into clear, executiveready insights and recommendations.
- Drive alignment across functions on metric definitions, assumptions, and interpretation.
- Provide technical guidance and oversight on solution design, data quality, and scalability.
- Champion best practices in metric design, documentation, and reuse.
Requirements
-
Bachelor's degree in a quantitative or business discipline (e.g., Business Analytics, Economics, Engineering, Computer Science)
-
8+ years of proven experience in Business Intelligence, analytics product ownership, or insight leadership in a complex enterprise environment.
-
Strong technical literacy in data and analytics, including:
-
Data modeling and KPI design
-
Advanced SQL and analytics concepts
-
Understanding of modern data platforms and pipelines (even if not handson)
Demonstrated ability to define analytical vision and translate it into delivered outcomes.
Experience with processoriented analytics or process mining platform/s (e.g., Celonis, and/or PowerBI, and/or Tableau) and eventbased datasets
Experience partnering with senior business stakeholders (VP-level and above) and influencing decisions through data.
Experience leading and managing teams aligned to customer insights and data analytics. Must have excellent communication skills and ability to engage both deeply technical teams and nontechnical leaders.
Ability to work onsite at Milford MA , Tuesday to Thursday , remote Monday and Friday.
US Citizen or Permanent resident preferred.
Nice to Have / Plus Qualifications
-
Strong business domain expertise in enterprise systems such as:
-
SAP (orders, supply chain, finance, pricing, revenue)
-
Salesforce or other commercial / service platforms
Experience supporting or driving enterprise transformations, integrations, or largescale metric standardization.
Exposure to advanced analytics, automation, or AIenabled insight use cases.