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Data Product Owner

England, Tyne and Wear, Newcastle upon Tyne

  • £400 to £450 GBP
  • DevOps Role
  • Skills: sla
  • Seniority: Senior

Job description

Data Product Owner

Outside IR35

* Start Data ASAP
* Contract Length: 6 months
* Location: Newcastle Upon Tyne 1 day a week
* SC Clearance preferable. BPSS with view to getting cleared

The Data Product Owner is accountable for maximising the business value of one or more data products, treating data as a product with clear consumers, measurable value, and defined service levels.

They act as the primary bridge between business stakeholders and delivery teams, owning the product vision, backlog prioritisation, and ongoing performance of the data product across its lifecycle. Each data product has a clearly identified owner who is commercially and operationally responsible for its success .

Key Responsibilities

Product Vision & Strategy

* Define and communicate a clear product vision and roadmap for assigned data products, aligned to business outcomes and strategic priorities .
* Ensure each data product is valuable, usable, feasible, and viable for its intended consumers .
* Act as the accountable owner for the success (or failure) of the data product in delivering measurable business value .

Stakeholder Management

* Serve as the primary point of contact for business stakeholders, data consumers, and delivery teams .
* Translate business needs into clear, prioritised product requirements and outcomes.
* Balance competing stakeholder demands while maintaining focus on agreed product goals.

Backlog Ownership & Prioritisation

* Own and prioritise the product backlog, ensuring delivery teams are always working on the highest-value items .
* Define user stories and acceptance criteria with a strong focus on consumer value and usability.
* Make informed trade-offs between scope, quality, time, and cost.

Data Product Delivery Agreements & SLAs

* Define, own, and maintain Data Product Delivery Agreements, including SLAs covering quality, timeliness, availability, and reliability .
* Agree and track non-functional requirements such as refresh frequency, retention, and recovery expectations.
* Ensure consumers clearly understand intended use, limitations, and notice-of-change commitments.

Value Measurement & Performance Monitoring

* Define success metrics and value measures for each data product, including usage, engagement, and business impact .
* Monitor product performance and data quality, initiating corrective action where standards are not met.
* Regularly review product value and make evidence-based decisions on enhancement, maintenance, or retirement.

Data Quality, Ethics & Compliance

* Ensure data products meet agreed data quality thresholds and are trustworthy for decision-making .
* Embed regulatory, privacy, and ethical considerations into product design and operation .
* Act as a steward for responsible data use within the product domain.

Cross-Functional Leadership

* Work closely with engineers, analytics engineers, platform teams, and UX to deliver high-quality data products .
* Champion a "data as a product" mindset across business and technical teams.
* Contribute to the evolution of product management and data product practices across the organisation.

Required Experience & Skills

Essential

* Proven experience as a Product Owner, Product Manager, or similar role in a data, analytics, or platform environment.
* Strong understanding of data and analytics concepts (e.g. data products, data quality, analytics use cases).
* Experience owning and prioritising backlogs and working with cross-functional delivery teams.
* Excellent stakeholder management and communication skills.
* Ability to define and measure business value.

Desirable

* Experience working with data platforms, analytics products, or data mesh-style ownership models .
* Familiarity with defining SLAs, service promises, or delivery agreements for data products.
* Experience operating in regulated or ethically sensitive data environments.
* Exposure to Agile and product management frameworks.

Please send me a copy pf your CV if you're interested?

Analytics Engineer

England, London, City of London

  • £300 to £350 GBP
  • DevOps Role
  • Skills: r, python, azure, gcp, c++, sql, data governance, data quality, hadoop, spark, power bi, databricks, data modelling,
  • Seniority: Senior

Job description

Position: Analytics Engineer



Location: London (hybrid 3 times a week)
Department: IT
Type: 3 months rolling contract
Outside IR35

The client is seeking an experienced Analytics Engineer to join its Data & Analytics team. The role focuses on building scalable data pipelines, transforming raw data into clean, reusable datasets, and enabling data-driven decision-making.

Key Responsibilities

* Design and build data products, with proficiency throughout the data lifecycle.
* Develop robust data models through close collaboration with business users and the engineering team.
* Partner with senior management, operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks.
* Accountable for data extraction, transforming JSON & XML, utlising high experience within metadata management.
* Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning.
* Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis.
* Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers.
* To work independently and to manage multiple data tasks in a fast-paced environment
* Create and maintain dashboards, visualizations, and reports using Power BI to enable data-driven decision-making
* Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes.

Requirements

* At least 8 years' experience in data analytics, data engineering, software engineering, or a similar role
* Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies.
* Strong ability in SQL for data extraction and manipulation, and proficiency in data modelling and data product building in Data Bricks.
* Developed Azure cloud experience for data storage and processing, considerations made for alternate cloud providers such as AWS and GCP.
* Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting
* Solid understanding of relevant data governance, data quality, and data security best practices
* Strong problem-solving skills, and the ability to think critically and analytically
* High experience in documentation and data dictionaries
* Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark
* Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders

Please can you send me a copy of your CV if you're interested