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Data Analysis Incorporated (DAI) is the controlling entity of the O’Neil family of businesses. DAI and its subsidiaries operate in diverse industries worldwide, including global equity markets, health care, financial services, digital news, and insurance. Our global footprint allows our teams to be responsive to customer needs in a timely and efficient manner. We are dedicated to using technology and innovation to bring change and growth to our businesses. We believe in a dynamic workplace, creating engaging, informative products and services that help our customers succeed. Integrity is an essential characteristic for our firms and our associates
The Senior IT Project Manager at Data Analysis, Inc. (DAI) is responsible for leading the delivery and implementation of new technology systems and solutions across the organization, including the re-implementation and transformation of existing platforms as needed. This role combines project management, business analysis, and technology implementation expertise to successfully execute strategic initiatives involving cloud platforms, ERP systems, enterprise applications, software go-to-market initiatives, and third-party integrations. The Project Manager serves as both a tactical leader and strategic partner, collaborating across global teams and business functions to ensure projects are delivered on time, within scope, and within budget.
Required Education, Experience, Certification/Licensure
• Bachelor’s degree in Business Administration, Information Technology, Computer Science, Project Management, or a related field; equivalent combination of education and experience may be considered.
• 5+ years of experience managing cross-functional technology projects.
• Demonstrated experience performing Business Analyst responsibilities, including requirements gathering, process documentation, and stakeholder management.
• Experience implementing enterprise technology solutions, including cloud platforms, ERP systems, enterprise applications, and software implementations.
• Experience with Agile, Scrum, Waterfall, or other iterative project management methodologies.
• Proven ability to manage multiple concurrent projects and competing priorities in a fast-paced environment.
• Experience using project management and collaboration tools such as Smartsheet, Jira, Confluence, Microsoft Teams, or similar platforms.
• Strong documentation, organizational, and communication skills.
Preferred Education, Experience, Certification/Licensure
• PMP, CAPM, Agile, Scrum Master, or related project management certification.
• Experience with cloud platforms and technologies including AWS, Azure, Salesforce, Snowflake, or similar solutions.
• Experience supporting global organizations and geographically distributed teams.the
• Experience leading enterprise transformation, digital transformation, or system modernization initiatives.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs)
• Strong project management, planning, organization, and execution skills.
• Excellent business analysis, process mapping, and requirements gathering capabilities.
• Strong verbal and written communication skills with the ability to interact effectively with technical and non-technical stakeholders.
• Ability to influence, collaborate, and build relationships across all levels of the organization.
• Strong analytical, problem-solving, and decision-making skills.
• Proficiency with project management software and collaboration platforms.
• Ability to manage multiple priorities while maintaining attention to detail and delivering high-quality results.
• Demonstrated leadership capabilities with the ability to drive accountability and project success.
• Adaptability and flexibility in a dynamic, fast-paced environment.
• Ability to work independently as well as collaboratively within cross-functional teams.
Must be able to perform essential job duties. Work is performed primarily in an office environment. Typically requires the ability to sit for extended periods of time (66%+ each workday), hear the telephone, and enter data on a computer and may also require the ability to lift up to 10 pounds.
Data Analysis Inc is an equal opportunity employer. All aspects of employment, including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
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