Analytics Solutions Manager
ITT Inc. - Polish
- Stamford, CT
- Permanent
- Full-time
- Motion Technologies: (Revenue of $1.4B; headcount of ~ 4,000; operates in 13 countries) manufactures brake components and specialized sealing solutions, shock absorbers and damping technologies primarily for the global automotive, truck and trailer, public bus and rail transportation markets.
- Industrial Process: (Revenue of $1.4B; headcount of ~3,400; operates in 30 countries) manufactures engineered fluid process equipment serving a diversified mix of customers in global industries such as chemical, energy, mining, and other industrial process markets and is a provider of plant optimization and efficiency solutions and aftermarket services and parts.
- Connect and Control Technologies: (Revenue of $0.8B; headcount of ~ 3,800; operates in 10 countries) manufactures harsh-environment connector solutions, critical energy absorption, flow control components, and composite materials for the aerospace and defense, general industrial, medical, and energy markets.
- Define and drive data transformation to support the company’s vision and strategic priorities.
- Identify various processes, tools, reports, etc. to consolidate all reports, dashboard and analytics applications – rationalize and harmonize all sources for simplified use and visualization via PowerBI.
- Partner with the business to understand their needs, challenges, and opportunities and provide best-in-class solutions that create value and competitive advantage; define scope, requirements and functional design to meet business needs. As part of these functional design, use existing tools and data dictionaries to facilitate streamlining of business key business measures.
- Collaborate with senior leadership to define data-driven strategies and initiatives that will contribute to the company's growth and success.
- Assess and prioritize all related efforts to make best use of resources that maximize value delivered to the business.
- Work with Corporate Enterprise Analytics & AI Team to enable the transformation of enterprise data platforms to enable AI, data science, analytics, optimization, and system integration.
- Identifyopportunities for AI / LLMs to enhance IT capabilities and drive innovation while evaluating emerging technologies and trends.
- Establish and monitor key performance indicators (KPIs) and metrics to measure the impact and value of AI and data transformation initiatives.
- Work as the subject matter expert in data strategy to engage with internal stakeholders to understand their specific needs and opportunities for data-driven services.
- Lead and develop a high-performing team, to deliver data-driven insights.
- Empower your team to drive their projects from inception to completion with a high bar for standard. Wymagania dotyczące pozycji:
- 8+ years of experience in IT and related field
- 7+ years of experience in Data Analytics / Data Engineeringor a similar role.
- 3+ years of experience leading data teams
- Proficiency in data visualization tools (Power BI will be preferred)
- Experience in AI/ML techniques, tools, and frameworks, will be highly appreciated
- Experience with Microsoft Azure Data Stack or similar
- Strong communication, presentation, and stakeholder management skills.
- Ability to think strategically, creatively, and analytically.
- Ability to be challenged with ambiguous situations; dissect and plan the work that simplifies the work for themselves and others, with a focus on delivering results.
- Passion for data and innovation.
- Solid technical background
- Proven ability to manage multiple projects to completion while maintaining quality standards and project deadlines.
- Exceptional listening and communication skills, including the ability to gather requirements from, and engage with, non-technical Executives and their teams to design effective, efficient solutions.
- Strong influencing skills leading technology discussions at the senior leadership level.
- Ability to collaborate and manage relationships with other business units, external vendors, and stakeholders.