Innovation Portfolio & Analytics Manager

Agilent Technologies is seeking a hands-on technically skilled builder and analyst to strengthen enterprise R&D portfolio management through high-quality data scalable digital capabilities and actionable analytics. The role will help leaders make better-informed decisions about project priorities investment performance and risk across business-unit portfolio reviews and enterprise governance forums.

Reporting into the Office of the Chief Technology Officer (CTO) the Innovation Portfolio & Analytics Manager will partner with R&D PMO Finance and IT stakeholders to translate portfolio management needs into effective data analytics and digital capabilities. This role offers the opportunity to shape both the digital foundation and the analytical methods used to guide R&D portfolio decisions across Agilent. The successful candidate will combine data and analytics expertise solution design and implementation leadership process-improvement capability and strong stakeholder engagement while using AI-assisted development to accelerate delivery and improve how portfolio insights are generated and applied.

• Lead the enterprise R&D portfolio data and analytics capability guiding requirements solution design implementation adoption and continuous improvement across internal platforms commercial portfolio management solutions or a combination.

• Partner with divisions to understand portfolio decisions and stakeholder needs translate them into analytical and reporting requirements define implementation plans and support adoption of common enterprise capabilities.

• Assess portfolio data reporting and workflow processes to identify improvement opportunities and implement scalable digital workflows that improve efficiency transparency consistency and decision support.

• Design develop and continuously enhance scalable data models integrations pipelines applications and dashboards using Power BI Microsoft Fabric Power Apps and Power Automate in partnership with IT architecture and platform teams.

• Develop portfolio analytics and reporting that assess strategic alignment; reveal trends and variances; evaluate portfolio composition and balance resource capacity investment and value; measure project cycle times and milestone adherence; and support proactive risk flagging and mitigation.

• Coordinate data readiness and prepare analytical content for enterprise portfolio reviews ensuring accurate timely information and translating results into clear performance insights implications options and recommendations.

• Define and continuously improve enterprise standards for portfolio data metrics reporting and supporting digital workflows; coordinate validation issue resolution and data-quality improvement with divisional PMOs and other data contributors.

• Establish sustainable operating and adoption practices including testing releases documentation access management platform performance training communication user support and ongoing enhancement.

• Apply AI-assisted development and automation to accelerate data modeling application development testing documentation analytics and workflow execution.

Education & Experience

• Bachelors degree in science engineering information systems data/analytics computer science or a related field required.

• Typically 8 years of relevant experience or an equivalent combination of education and experience in business intelligence analytics development data solutions portfolio systems or related roles.

• Demonstrated knowledge of project portfolio management principles and practices including how project priorities strategic alignment schedules resources financials risks and performance measures inform portfolio decisions.

• Demonstrated experience designing building deploying and supporting analytics solutions including data models pipelines integrations applications dashboards and production support practices.

• Hands-on proficiency in Power BI including data schemas semantic modeling and DAX; Microsoft Fabric; Power Apps; Power Automate; and advanced Excel modeling.

• Working proficiency in SQL for data extraction transformation validation and troubleshooting required; experience with Python or another scripting language and ERP-sourced data such as SAP preferred.

• Experience developing solutions within enterprise IT architecture security governance and compliance frameworks.

• Experience analyzing documenting and improving data reporting or portfolio-related business processes including workflow automation and continuous improvement.

• Experience driving adoption of new data processes digital tools and reporting capabilities through stakeholder engagement training communication and user support.

• Experience implementing administering configuring or serving as a business product owner for a commercial project portfolio management platform such as Planisware Planview Clarity or a comparable enterprise PPM solution preferred.

• Working knowledge of industrial R&D environments required; experience in life sciences analytical instrumentation chemicals medical technology or related industries preferred.

Required Skills & Competencies

• Technical problem solving: ability to diagnose complex data and platform issues and develop scalable maintainable solutions.

• Portfolio analytics and constructive challenge: ability to frame important portfolio questions test assumptions identify meaningful patterns and trade-offs and translate complex data into intuitive visualizations clear implications and actionable recommendations.

• Capability and process leadership: ability to translate stakeholder needs into practical requirements implementation plans improved workflows and sustainable operating practices.

• AI-enabled development: demonstrated use of AI-assisted development tools to improve speed quality and scalability; experience implementing automated or agent-enabled workflows in an enterprise environment preferred.

• Influence and collaboration: ability to build alignment and drive adoption across a global matrixed organization without direct authority.

• Quality and accountability: high attention to detail disciplined follow-through and sound judgment in resolving data and platform issues.

Additional Details

This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least August 28 2026 or until the job is no longer posted.

The full-time equivalent pay range for this position is $133120.00 - $249600.00/yr plus eligibility for bonus stock and benefits. Our pay ranges are determined by role level and location. Within the range individual pay is determined by work location and additional factors including job-related skills experience and relevant education or training. During the hiring process a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: Technologies Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals regardless of personal characteristics are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex pregnancy race religion or religious creed color gender gender identity gender expression national origin ancestry physical or mental disability medical condition genetic information marital status registered domestic partner status age sexual orientation military or veteran status protected veteran status or any other basis protected by federal state local law ordinance or regulation and will not be discriminated against on these bases. Agilent Technologies Inc. is committed to creating and maintaining an inclusive in the workplace where everyone is welcome and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility please email or contact 1-. For more information about equal employment opportunity protections please visit Required: 10% of the Time

Day

No End Date

R&D