Bachelor's degree or equivalent experience in Business, Engineering, Data/Analytics, Life Sciences or related field.
Experience in analytics, commercial insights, portfolio/programme management, innovation excellence, or a similar role in an Ingredient or FMCG environment (or agency/consulting equivalent).
Demonstrated ability to build practical tools and standardised ways of working that improve decision making and execution (templates, scorecards, dashboards, governance packs).
Strong analytical and problem-solving capability; able to structure ambiguous questions and synthesise data into clear, stakeholder-ready recommendations.
Working knowledge of innovation/NPD processes and commercial fundamentals (value pools, P&L drivers, basic financial modelling).
High attention to detail, strong version control and documentation discipline; comfortable owning data definitions and audit trails.
Excellent communication and stakeholder management skills; able to influence without authority in a matrixed organisation.
Proactive, self-starting and collaborative; thrives in a fast-paced environment with multiple priorities.
Preferred: Proficiency with data and reporting tools (e.g., Excel/PowerQuery, Power BI or similar), and experience working with structured datasets and dashboarding standards.
What we can offer you
Tate & Lyle complies with all local/state regulations requiring salary range transparency. When determining final compensation, we take into consideration: skillset, job scope, knowledge, prior experience, cost of living, market data, budget availability, and other factors as permitted by law.
The salary range for this position is: $90,000 - $130,000.
In addition to competitive pay, we offer a comprehensive Total Rewards package that includes but is not limited to:
Medical, Dental, Vision coverages
Paid time off package, including vacation, sick time, and 16 weeks of paid parental leave
401K with company match
Company paid life insurance
Additional benefits at not cost to employee such as: Lifestyle Spending Account, Identity Theft protection, Employee Assistance Program, telemedicine and more!
In addition to your Total Rewards, culture and ED&I are very important to Tate & Lyle. We offer multiple Employee Resource Groups (ERGs) that support various communities.
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California Consumer Privacy Act ("CCPA")
Benefits
Dental insuranceVision insurance401(k)Paid time offParental leave
Additional Information
About this role:
The Innovation Optimization Manager supports the Director of Innovation Optimization by building and maintaining the tools, analyses and knowledge assets that underpin innovation prioritization, governance and value delivery. This role turns data into decision-ready insight, standardizes ways of working across regions/platforms, and ensures key learnings, benchmarks and playbooks are captured and reusable. The role is hands-on (data, dashboards, templates) and highly collaborative, working across Commercial, Platforms, FP&A and Analytics to strengthen pipeline transparency, rigour and speed.
Accountabilities:
Develop, maintain and improve core innovation optimisation tools (e.g., templates, scorecards, prioritisation models, dashboards) to enable consistent evaluation and governance.
Translate the Director's governance principles into clear workflows, guidance and training materials; support adoption across regions and platforms.
Operate the "pipeline view" cadence: prepare materials for innovation forums, capture decisions, and ensure updates are reflected in the relevant systems and reporting.
Run recurring and ad-hoc analysis to support prioritisation, resource allocation and de-prioritisation decisions (e.g., value pools, sensitivity scenarios, capacity vs. demand, milestone risk).
Partner with FP&A and Analytics to compile inputs for ROI views (e.g., investment, benefits, probabilities, timing) and to surface risks/assumptions in a transparent way.
Support creation and maintenance of the "one source of truth" datasets and visualisations (e.g., cube/game boards), ensuring version control and clear audit trails.
Prepare decision-ready synthesis for stakeholders: concise summaries, recommended options, and implications for portfolio shape and strategic objectives.
Build and maintain the innovation optimisation knowledge base (e.g., playbooks, FAQs, benchmarks, best practices, post-launch learnings, decision logs).
Standardise and curate reusable assets (templates, examples, coaching materials) to reduce rework and improve quality of submissions into the pipeline funnel.
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