Randstad Digital
Product Manager

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Strategic Product Manager
We are looking for a strategic and outcome-driven Product Manager to define, build, and scale our portfolio of high-impact data products. Sitting at the intersection of business strategy, data engineering, and technology, you will be accountable for the vision, roadmap, delivery, adoption, and measurable business value of our enterprise data assets.
In this role, you will act as the bridge between executive stakeholders, business units, and technical teams to transform complex business challenges into trusted, scalable, and self-service data solutions.
Product Strategy, Vision & Ownership
- Define and communicate the overall product vision, multi-quarter roadmap, priorities, and success metrics (KPIs/OKRs)
- Own the complete end-to-end product lifecycle—from discovery, ideation, and business case development through to delivery, expansion, and eventual retirement
- Translate strategic business objectives into actionable product requirements and data solution architectures
- Manage product backlogs, release plans, budget allocations, and value-driven investment decisions
Delivery & Cross-Functional Execution
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Partner closely with Data Engineering, Analytics, AI/ML, and Governance teams to execute and deliver against the product roadmap
- Translate business needs into clear user stories, technical specifications, and strict acceptance criteria
- Drive Agile execution, manage cross-functional dependencies, and remove delivery roadblocks
- Own end-to-end change management, stakeholder communication, user training, and product adoption strategies
Business Value & ROI Realization
- Define and track product performance, user engagement, and hard business impact
- Identify high-value opportunities for operational automation, self-service analytics, AI/ML enablement, and potential data monetization
- Continuously gather user feedback to optimize feature releases and maximize business ROI
Data Quality, Reliability & Governance
- Establish, monitor, and enforce metrics for data quality, accuracy, availability, and SLA compliance
- Ensure all data products comply with enterprise security, privacy, and regulatory requirements
- Champion data governance best practices, including clear ownership frameworks, standardized data definitions, and complete data lineage


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Required Skills & Experience
Product Management & Business Acumen
- Proven experience as a Product Manager or Data Product Lead managing data-heavy products (e.g., data platforms, pipelines, central marts, BI suites, or ML features)
- Deep experience in product strategy, roadmap development, prioritization frameworks (MoSCoW, RICE), and backlog management
- Exceptional executive stakeholder management and written/verbal communication skills
- Strong background delivering products using Agile/Scrum software development framework
- Proven ability to build business cases, measure ROI, and drive organizational adoption
Data & Technical Proficiency
- Strong hands-on capability with SQL and data exploration tools
- Solid working knowledge of cloud data platforms (e.g., Snowflake, Databricks, BigQuery, AWS, Azure)
- Conceptual understanding of data modeling practices, modern ETL/ELT architecture, APIs, and microservices
- Exposure to modern BI tools (e.g., Tableau, Power BI) and AI/ML data integration needs is a plus
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