Data Lead

• Working with a leading Pharma organisation
• 4 months rolling

About Our Client

Our client is a world leading pharmaceutical and healthcare organisation.

Job Description

The successful Data Lead will be responsible for:

1. Driving key data activities across data foundations, metric delivery and reporting, bridging the gap between data discovery and ingestion, and metric reporting requirements.
2. Working closely with the existing team and stakeholders based in the UK and Bangalore across the Sustainability workstreams.

Project Scope and Objectives:

1. Managing the relationship between Data Owners and the Data Delivery Squads (Data Foundations and Gaia).
2. Planning and coordinating dataset ingestion activities across Sustainability Data Foundation squads.
3. Coordinating data modelling and lineage activities to ensure the MSM metric implementation team receives the data they require in a timely manner.
4. Tracking and documenting ongoing data activities across the Sustainability Data Programme.
5. Becoming familiar with the scope of the metrics/KPIs to be delivered with the squad, reporting up to the Sustainability core team on progress in delivery.

Project Timeline:

1. Ensuring the delivery of curated data stays on schedule by monitoring progress and making necessary adjustments.
2. Supporting the delivery of tranches 1 & 2 of sustainability metrics.

Roles and Responsibilities:

1. Taking ownership of specific data-related tasks within the project to drive progress and collaboration across squads.
2. Coordinating with data product managers, scrum masters and Sustainability team members to ensure seamless collaboration and integration of efforts.

Data Sources and Collection Methods:

1. Overseeing the identification and ingestion of relevant data sources.
2. Implementing and managing methods for accurate data collection and verification, working with the cross-functional team.
3. Ensuring data modelling activities are coordinated between Data Foundation squads and the MSM implementation team, bridging the gap between data ingestion and downstream reporting requirements.

Data Analysis and Reporting:

1. Utilising appropriate tools and software for managing required tasks, risks and dependencies, including Jira, Aha and Confluence.
2. Working with the Data Ops squad to ensure the accuracy and reliability of the data being ingested.
3. Preparing comprehensive reports and presentations for stakeholders, highlighting key findings and insights.

Risk Management:

1. Identifying potential risks and challenges within their area of responsibility.
2. Developing and implementing mitigation strategies to address identified risks.

Communication Plan:

1. Managing communication within the squads and the Sustainability Leadership team to ensure clear and consistent information flow.
2. Utilising regular communication channels and maintaining a schedule for updates and progress reports in line with defined project governance cadence.
3. Communicating with business stakeholders to gather and document requirements to feed down into the delivery team, tracking any changes.

Compliance and Standards:

1. Ensuring adherence to relevant sustainability standards and regulations within their scope.
2. Implementing processes to maintain compliance with data principles and best practices throughout the project lifecycle.

The Successful Applicant

Skill requirements:

1. Data domain expertise, including an understanding of data governance, modelling and engineering principles and ways of working.
2. Strong stakeholder engagement and management.
3. Agile delivery experience; road-mapping, reporting, story writing (Jira & Confluence).
4. Strong data Platforms/Foundations technical experience.
5. Experience in the Sustainability domain desirable, but not essential.

Essential:

1. Experience as a Data Product Manager / Owner or similar roles in a product-led environment within R&D, QSC, Customer, Consumer, Finance, HR etc.
2. Managed product backlogs and prioritisation for data-driven products.
3. Hands-on technical experience advantageous (i.e. Data Analytics, Data Modelling, Data Engineering, Cloud Platforms, BI).
4. Knowledge of Data Governance processes and best practices.
5. Demonstrated ability to effectively convey complex requirements and work with a mixture of senior technical and non-technical stakeholders, with a focus on value and prioritisation.
6. Experience working within a Data Office and/or Data Platforms business area.
7. Experience working and delivering through an agile methodology to deliver rapid value to business stakeholders.
8. Strong Data Analytics skills to support and enable technical data teams.
9. Product management skills, including interpersonal skills, research, communications (esp. listening), demonstrated influence, and the ability to have crucial and difficult conversations.

Preferred:

1. A knowledge of the FMCG or Sustainability industries and external perspective on challenges and innovation opportunities.
2. Significant experience successfully delivering complex projects to a high standard and within short timeframes. Desirable recent examples of delivery of data or technology products/projects.
3. Experience working with MS Purview or other data cataloguing tools.

What’s on Offer

The successful Data Lead will have the opportunity to work within the pharmaceuticals sector in London.

£450-550 p/day (IR35 TBC)

Initially until 30-June-2025, with potential to extend through 31-December via CR.

Hours: 9am to 5:30pm GMT.

#J-18808-Ljbffr