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For Companies At a Glance
- Tasks: Lead the rollout of data comprehension initiatives and manage production processes.
- Company: Join Pension Insurance Corporation, a leader in financial services focused on data management.
- Benefits: Enjoy private medical insurance, 28 days annual leave, and a generous pension scheme.
- Why this job: Be part of a dynamic team shaping data strategy with real impact on the business.
- Qualifications: Strong understanding of data management, governance, and proficiency in relevant tools like SQL and Power BI.
- Other info: Ideal for those passionate about data and looking to influence across the organisation.
The predicted salary is between 43200 - 72000 £ per year.
We have a great opportunity for an individual with strong Data Lineage skills to lead the roll out of PIC’s Data Comprehension initiative across the business and setup/manage the BAU production process.
Key Responsibilities
- Setup a delivery roadmap for Data Comprehension/Solidatus across all business areas.
- Work with the Architecture and IT teams to design/build the appropriate structure, properties and standards needed to create an Enterprise data model that meets the requirements of PIC’s data strategy.
- Develop and maintain appropriate documentation in relation to data comprehension activities.
- Oversee delivery of Solidatus models and provide regular feedback on success.
- Work with business SMEs in developing Solidatus models.
- Collect and document requirements from a business perspective for underlying models.
- Work with technical SMEs in translating underlying code into Solidatus models where appropriate.
- Awareness of legal and regulatory matters and internal policies relevant to PIC’s data management.
- Work with members of the Data Office to successfully deliver against the department’s objectives.
Knowledge, Experience, Skills and Abilities
- Technical
- An understanding of both data management and data governance policies and principles.
- Familiarity with Solidatus (or similar) software and the mapping of data lineage/inventory models to support business practices.
- A high level of proficiency with Data management and analysis tools (e.g., Azure data products, SQL, ETL, APIs, Power BI, DQ analysis tools, Excel etc).
- Experience in financial services and an understanding of investment, insurance and pension products.
- Sound report writing skills, able to appropriately select, tailor and present information to different audiences.
- Experience in leading/delivering projects and working to tight deadlines.
- Excellent communication skills with business stakeholders and able to build relationships across the organisation.
- Ability to persuade and influence both directly and indirectly.
- Ability to organise work to meet deadlines.
In addition to a competitive base salary and the opportunity to participate in our annual, performance-related bonus plan, upon joining us here at Pension Insurance Corporation, you will get access to some great benefits, including private medical insurance, 28 days' annual leave (excluding bank holidays), a generous pension scheme and much more.
AI & Analytics Product Manager employer: PIC
Contact Detail:
PIC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Analytics Product Manager
✨Tip Number 1
Familiarise yourself with Solidatus and similar data lineage tools. Understanding how these platforms work will not only help you in interviews but also demonstrate your proactive approach to mastering the skills required for the role.
✨Tip Number 2
Network with professionals in the financial services sector, especially those who have experience in data management and governance. Engaging with industry experts can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Brush up on your knowledge of data governance policies and principles. Being able to discuss these topics confidently during conversations will show that you are well-prepared and serious about the role.
✨Tip Number 4
Prepare to discuss your project management experience in detail. Highlight specific examples where you've successfully led projects under tight deadlines, as this is a key requirement for the position.
We think you need these skills to ace AI & Analytics Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data management, governance policies, and any relevant tools like Solidatus. Use specific examples that demonstrate your ability to lead projects and work with business stakeholders.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your skills align with the responsibilities outlined in the job description. Mention your familiarity with data lineage and your experience in financial services to make a strong case.
Showcase Technical Skills: Clearly list your technical skills related to data management and analysis tools such as Azure, SQL, and Power BI. Provide examples of how you've used these tools in previous roles to support your application.
Highlight Communication Abilities: Since the role requires excellent communication skills, include examples of how you've successfully built relationships with stakeholders and influenced decisions in past projects. This will demonstrate your fit for the position.
How to prepare for a job interview at PIC
✨Understand the Role and Responsibilities
Before the interview, make sure you thoroughly understand the key responsibilities of the AI & Analytics Product Manager role. Familiarise yourself with data lineage, Solidatus, and how these tools fit into the broader data strategy of the company.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data management and analysis tools like SQL, Azure, and Power BI. Highlight specific projects where you've successfully used these tools to deliver results, especially in financial services.
✨Demonstrate Communication Skills
Since the role requires excellent communication with business stakeholders, practice articulating complex technical concepts in a way that non-technical audiences can understand. Prepare examples of how you've built relationships and influenced decisions in previous roles.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities and project management skills. Think of examples where you've led projects under tight deadlines and how you managed to meet those challenges effectively.
