Sr Manager, Data & Advance Analytics
OPW Fueling Components, LLC
- United States
- United States
À propos
OPW is part of the Clean Energy & Fueling segment of Dover (NYSE: DOV).
Position Summary The Senior Manager, Data & Advanced Analytics, will lead the transformation of OPW's business intelligence capabilities into a modern enterprise analytics platform that enables data‑driven decision making across the organization. Reporting to the Sr. Director, Digital & IT, this role will design and implement a centralized OPW Data Lake that integrates data across multiple ERP platforms and key enterprise systems, while establishing a structured data governance framework in partnership with the Dover Data Governance Center of Excellence (COE). Using Microsoft Fabric, Azure and Power BI, the successful candidate will modernize OPW’s reporting environment, enable self‑service analytics, improve data transparency and deliver advanced analytical capabilities across the enterprise.
Following the success of the data lake and governance framework, the role will also serve as OPW’s internal data science leader, applying advanced analytics and AI technologies to deliver deeper insights across key business domains including sales performance, inventory optimisation and margin analysis. This position will play a critical role in helping OPW transition from traditional reporting to advanced analytics and AI‑enabled decision support.
Core Responsibilities Enterprise Data Architecture & Data Lake Development
Lead the design and implementation of the OPW enterprise data lake, integrating data from multiple ERP systems and key enterprise platforms.
Develop scalable data pipelines and data models leveraging Azure, Microsoft Fabric and Power BI.
Integrate data from ERP systems, Salesforce, OneStream, eCommerce platforms and other enterprise systems into a unified analytics environment.
Partner with the Dover Data Governance COE to ensure alignment with enterprise data standards, architecture principles and security frameworks.
Establish scalable data architecture that supports both operational reporting and advanced analytics use cases.
Work with internal IT teams and external partners to build a robust, high‑performance analytics platform capable of supporting global operations.
Data Governance & Data Quality
Establish and operationalise data governance practices across OPW, aligned with Dover enterprise standards.
Define and implement data ownership, stewardship and accountability across key business domains.
Lead initiatives to improve data quality, data standardisation and master data consistency across ERP systems.
Implement governance frameworks that ensure data integrity, compliance and sustainable analytics development.
Partner with business leaders to establish clear data stewardship roles across operational functions.
Business Intelligence Transformation
Transform OPW’s existing BI reporting environment into a modern self‑service analytics platform.
Lead the development of enterprise dashboards and analytics solutions using Power BI.
Establish standardised reporting models and semantic layers that support scalable analytics across the organisation.
Enable business users to independently access and analyse data through self‑service analytics capabilities.
Ensure BI solutions provide actionable insights that improve operational performance and decision speed.
Advanced Analytics, Data Science & AI
Develop predictive and prescriptive analytics models to support business priorities such as inventory optimisation, demand forecasting, sales performance analysis and margin improvement.
Apply advanced analytics techniques, including machine learning and AI, to uncover actionable insights across OPW’s data ecosystem.
Identify opportunities to leverage AI technologies to improve decision making across commercial and operational functions.
Partner with business leadership to prioritise high‑value analytical initiatives.
Serve as OPW’s internal data science expert, translating complex analytical insights into practical business outcomes.
Strategic Leadership & Enterprise Collaboration
Serve as the strategic leader for OPW’s enterprise analytics and BI strategy.
Collaborate closely with the Dover Data COE, IT leadership and business stakeholders to align analytics initiatives with corporate strategy.
Provide guidance to IT and business teams on data architecture, analytics tools and best practices.
Foster a culture of data‑driven decision making across OPW’s global operations.
Mentor team members and stakeholders on data analytics, visualisation and analytical thinking.
Skills & Qualifications Technical Expertise
Strong expertise in Power BI development, including DAX, semantic modelling and enterprise reporting architecture.
Experience building cloud‑based data platforms using Azure, Microsoft Fabric or comparable technologies.
Advanced proficiency in SQL and Python for data transformation and analytics.
Experience designing data lakes, data warehouses and modern analytics architectures.
Proven experience integrating data from multiple ERP platforms.
Analytical & Business Acumen
Strong understanding of statistical modelling, forecasting and advanced analytics.
Experience applying analytics to manufacturing, supply‑chain, sales or financial data domains.
Ability to translate complex analytical findings into clear, actionable insights for business leaders.
Leadership & Communication
Strong leadership and stakeholder engagement skills across both business and technical teams.
Ability to influence and guide enterprise decisions related to data architecture and analytics strategy.
Proven ability to lead cross‑functional initiatives in complex global organisations.
Ideal Candidate Profile
Bachelor’s or master’s degree in data science, Computer Science, Statistics, Engineering or a related field.
7‑10+ years of experience in data architecture, analytics or data science roles.
Experience working in manufacturing or industrial organisations with complex ERP environments.
Demonstrated success building enterprise analytics platforms and self‑service BI environments.
Experience working within large corporate data governance frameworks.
Travel Requirements:
Less than 10% of travel.
Work Arrangement:
Hybrid.
Pay Range:
- annually.
Bonus Eligible:
This position is eligible to earn a discretionary bonus based on performance metrics and other criteria outlined in our applicable bonus plan.
Benefits:
Benefits for this position include a 401(k) savings plan with employer contributions; medical, dental and vision insurance; wellness programmes; health‑savings account, health‑care and dependent‑care flexible‑spending accounts; company‑paid short‑term and long‑term disability; company‑paid employee basic life and AD&D insurance; supplemental employee and dependent life insurance; optional accident, hospital indemnity and critical illness insurance; adoption, surrogacy, fertility benefits and assistance; commuter benefits; parental, military, jury‑duty and bereavement leave; paid time off, including 11 paid holidays per calendar year, 120 hours paid vacation, 24 paid sick leave hours annually or as provided under state and local paid sick leave laws; business travel services; employee discounts; and an employee assistance programme that includes company‑paid counseling sessions and legal services. Eligibility for benefits is governed by applicable plan documents and policies.
All qualified applicants will receive consideration for employment without discrimination based on race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information or any other factors prohibited by law.
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Compétences linguistiques
- English
Avis aux utilisateurs
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