PWI Operations Digital & Data Transformation Systems Lead
Information Technology Senior Management Forum
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Benefits offered by this job
Job summary
PWI Operations is seeking an Expert Data Analytics & Digital Transformation Lead to modernize operational tools, drive automation, and enable AI across Industrial Print.
The role focuses on building scalable data models, dashboards, and reporting using Power BI and Databricks, plus governance and data quality.
You will lead cross-functional initiatives, mentor analysts, and translate business needs into practical solutions while ensuring resilience and scale.
Qualifications
- Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or related discipline.
- 7-10 years of work experience in data analytics or a related field.
- Preferred Certifications in programming languages (SQL, Python).
Responsibilities
- Lead digital transformation and automation initiatives across PWI Operations.
- Architect and develop reporting, dashboards, and data solutions using Power BI, Databricks, and Microsoft technologies.
- Own production support, lifecycle management, issue resolution, access management, documentation, and enhancement planning for business critical PWI Operations digital tools, dashboards, workflows, and reporting assets.
- Partner with operations, planning, procurement, logistics, and engineering teams to streamline processes and improve business outcomes.
- Advance AI readiness and deploy practical AI-enabled solutions that drive efficiency and scalability.
- Serve as a trusted technical advisor and mentor while leading high-impact projects from concept through implementation.
- Translate business requirements into technical designs, secure required access and approvals, and guide solutions from concept through launch and support.
Skills
Education
Tools
Job description
Join PWI Operations as an Expert Data Analytics & Digital Transformation Lead, where you will shape the future of operational systems, analytics, automation, and AI enablement across Industrial Print. This lead role is responsible for modernizing business-critical tools, developing scalable data and reporting solutions, driving process automation, and identifying innovative ways to leverage AI to improve operational performance and decision-making. The ideal candidate brings deep expertise in data analytics, Power Platform, business systems, and digital transformation, along with the ability to lead complex cross-functional initiatives, influence stakeholders, and convert business needs into practical, scalable solutions.
- Lead digital transformation and automation initiatives across PWI Operations.
- Architect and develop Business Unit reporting, dashboards, and data solutions using Power BI, Databricks, and Microsoft technologies.
- Own production support, lifecycle management, issue resolution, access management, documentation, and enhancement planning for business critical PWI Operations digital tools, dashboards, workflows, and reporting assets.
- Partner with operations, planning, procurement, logistics, and engineering teams to streamline processes and improve business outcomes.
- Advance AI readiness and deploy practical AI-enabled solutions that drive efficiency and scalability.
- Serve as a trusted technical advisor and mentor while leading high-impact projects from concept through implementation.
- Translate business requirements into technical designs, partner with IT and data platform teams, secure required access and approvals, and guide solutions from concept through launch and support.
- Establish and maintain governance standards for operational data, reporting assets, KPI definitions, security, documentation, and solution lifecycle management.
- Support, maintain, and improve operational tools used across PWI Operations, including SharePoint-based tools, PowerApps, Power Automate workflows, and related business process platforms.
- Ensure continuity of business-critical systems that support PWI functional areas, hardware planning, procurement, logistics, change management, product data management, spare parts management, install planning, and upgrade planning.
- Lead issue triage, escalation, recovery planning, and stakeholder communication during system disruptions or business continuity events.
- Maintain and evolve system documentation, data dictionaries, access instructions, governance practices, and support processes for productionized tools and reports.
- Identify, design, and implement automation opportunities that streamline PWI Operations processes, reduce manual work, and improve execution speed and quality.
- Evaluate alternatives to SharePoint and recommend scalable, secure, and integrated platform solutions aligned with PWI Operations’ long-term digital roadmap.
- Partner with business stakeholders to map current-state and future-state processes, define requirements, identify pain points, and recommend digital enablement solutions.
- Lead development of scalable data models, Power BI dashboards, and operational reporting capabilities that support executive reviews, functional metrics, and management decision-making.
- Integrate trusted data sources into analytics solutions, including Databricks, FDL, PO, inventory, master data, TRAX, Hawkeye, revenue, sales order, SNOW, and other operational datasets where approved and available.
- Establish and maintain standard KPI definitions, data models, refresh processes, supporting reports, and analytics review mechanisms that drive operational performance improvement.
- Lead data validation, data quality checks, metric logic review, regression testing, and stakeholder sign-off for production dashboards and operational reports.
- Design scalable data pipelines, reusable semantic models, automated refresh patterns, and governed data structures that support multiple dashboards, planning tools, and operational analytics products.
- Lead ongoing delivery and support of PWI Operations reporting assets, including executive dashboards, supporting reports, and functional analytics.
- Manage and mature reporting areas such as TLC and cost savings, consumables supply chain costs, inventory costs, recognition trends, NPI, AOS, hardware forecast accuracy, hardware and consumables availability, hardware logistics costs, Opex, change management, DDT/SSR trends, AI adoption, supplier OTD, logistics OTD, supplier spend, and PDM metrics.
- Design dashboards and data products that balance executive-level visibility with drill-through capability for functional owners.
- Partner with stakeholders to prioritize dashboard enhancements, clarify metric ownership, define data source readiness, and distinguish MVP delivery from longer‑term transformation phases.
- Lead or support development of planning tools for hardware, consumables, allocation, forecast accuracy, availability, and other operational decision‑support needs.
- Translate operational planning needs into data structures, model logic, dashboards, automation workflows, and repeatable reporting processes.
- Partner cross‑functionally with supply chain, procurement, logistics, planning, engineering, and business operations stakeholders to validate requirements and ensure adoption.
- Document repeatable processes and provide training or enablement materials to ensure business users can sustain solutions after implementation.
- Identify practical AI and automation use cases that improve daily operational efficiency, accuracy, quality, and resource leverage.
- Advance AI‑ready data practices by helping standardize, clean, label, structure, govern, and normalize operational datasets.
- Explore and pilot AI‑enabled workflows, Copilot Studio/agent use cases, LLM‑enabled automation, and AI‑assisted process improvement where appropriate.
- Partner with operations stakeholders and AI champions to scale practical AI adoption, build knowledge‑sharing mechanisms, and convert pilots into measurable business value.
- Lead engagement with the PWI business and operational community to identify opportunities, clarify requirements, prioritize work, and convert business needs into scalable technical solutions.
- Own complex workstreams independently, including planning, requirements gathering, solution design, development coordination, testing, documentation, launch, and post‑launch support.
- Provide technical guidance to junior analysts, contract workers, citizen developers, and business partners in Power BI, data modeling, Power Platform, automation, and data readiness.
- Support intake, backlog management, prioritization, and governance processes to ensure the team focuses on the highest‑value operational work.
Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
7-10 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.
Programming Language/s Certification (SQL, Python, or similar)
- Agile Methodology
- Business Intelligence
- Dashboard
- Data Analysis
- Data Management
- Data Modeling
- Data Quality
- Data Science
- Data Visualization
- Data Pipelines
- Supply Chain Analytics/ Supply Chain Knowledge
- DAX
- Microsoft Power Platform
- Power Query
- SAP/S4 or experience working with ERP systems
- Windchill or Experience with Change Management Systems
- SharePoint Development
- Databricks Experience
- Machine Learning
- Power BI
- Python (Programming Language)
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
Impacts function and leads and/or provides expertise to functional project teams and may participate in cross‑functional initiatives.
Works on complex problems where analysis of situations or data requires an in‑depth evaluation of multiple factors.
The pay range for this role is $105,050 to $161,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job‑related knowledge, skills, and experience.
HP offers a comprehensive benefits package for this position, including:
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including;
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave (US benefits overview)
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Data & Information Technology
Full time
No shift premium (United States of America)
No
No
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