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Careers at Informa Group Plc.
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Finance Data Operations Manager

Fulltime
fulltime
23 Jan 2024
Verified by Turrior

Content + Source + Freshness • 13 Dec 2025 • 95% confidence

78 / 100

Offer value

Moderate-value position providing good opportunities for leadership in financial data management, although may appeal less to seasoned professionals.

  • Role inclusive of team leadership opportunities
  • Focus on impactful data management processes
  • Room for career growth in data operations
  • Might not attract seasoned data specialists
Pros
  • Possibility to build and lead a data operations team
  • Engagement with modern data technologies and applications
  • Collaborative work culture with emphasis on learning
Cons
  • Salary may be lower compared to senior roles
  • Position primarily geared towards leadership rather than technical detail
  • Risk of limited exposure to high-level data architecture strategies

Who it's for

Mid-level / Manager • Remote or hybrid

Good fit
  • Finance managers with data operations background
  • Individuals looking to lead and mentor teams
  • Candidates interested in data-driven decision-making
Not recommended for
  • Seasoned professionals seeking purely strategic roles
  • Recent graduates without practical experience
  • Individuals preferring minimal leadership responsibilities

Motivation fit

Interest in building leadership capabilities in data managementDesire to innovate processes and improve data qualityMotivation to work in a collaborative environment

Key skills

Data Operations ManagementPower BI DevelopmentTeam LeadershipFinancial Reporting KnowledgeSQL and Data Integration
Score: 78/100 AI verified analysis

About the job

Company Description

Informa is a leading academic publishing, business intelligence, knowledge and events business, creating unique content and connectivity for customers all over the world. It is listed on the London Stock Exchange and is a member of the FTSE 100.

Taylor & Francis Group produces high quality, peer reviewed books and journals. We produce unique, trusted content by expert authors, spreading knowledge and promoting discovery globally. We aim to broaden thinking and advance understanding, providing academics and professionals with a platform to share ideas and realise their individual potential.

Job Description

We are looking to add a Finance Data Operations Manager to our Finance Operations team.  You’ll have an incredible opportunity to build a career within a company focussed on helping researchers expand the reaches of human knowledge.

The successful candidate will be responsible for building a small but highly skilled team to create, execute, and manage a strong data architecture that meets our financial data requirements and provision the business with high quality visualisation based reporting.

This role is crucial in ensuring the integrity, accuracy, and accessibility of financial data for informed decision-making. Your expertise will contribute to the organization's ability to derive valuable insights from financial data, enabling data-driven strategies and improved financial performance.

What you’ll be doing:

This role will lead the team that creates and executes the data models and structures that enable financial reporting, analysis and decision making. The role will support the data structures that underpin our main T&F Finance applications and of TM1, Alteryx and Power BI. This will require sourcing and integrating multiple data sources from across the T&F estate including third party providers. This includes ownership of the Power BI estate and hands on support for daily operations, as well as, medium and long-term development to align with business needs and strategy.

Main Duties & Responsibilities:

Team Leadership

· Build and lead a small but high-performing team of data operations analysts

· Provide guidance, mentorship, and technical leadership to team members.

· Foster a collaborative and innovative team culture.

Data Modelling

· Develop and implement a comprehensive financial data architecture strategy.

· Design and develop Power BI data models and visualisation reports that accurately represent the structure and relationships of financial data aligned to business objectives.

· Collaborate with cross-functional teams to integrate financial data architecture into existing systems and processes.

Data Integration

· Integrate financial data from various sources, including ERP systems, databases, external APIs, and spreadsheets, into comprehensive and coherent data models.

· Primary Finance representative on data governance programmes

· Build a data estate that provides a platform for future financial analytics work.

Data Transformation

· Implement data transformation and cleansing processes to ensure data accuracy, consistency, and adherence to financial reporting standards.

· Create comprehensive documentation for data models, making it accessible to relevant stakeholders and ensuring a clear understanding of data structures and relationships.

· Optimize data models to enable efficient querying, reporting, and analytics, working to improve data retrieval speeds and system performance.

· Establish and maintain data quality standards and implement data validation checks to ensure data accuracy and integrity.

Technology Evaluation and Adoption

· Stay abreast of emerging technologies and trends in data management.

· Evaluate and recommend tools and technologies that enhance the financial data architecture.

· Lead the implementation and adoption of new technologies within the team.

Collaboration

· Collaborate with finance, IT, and business teams to understand data requirements.

· Communicate effectively with stakeholders to ensure alignment of data architecture with business goals.

· Provide regular updates and reports on data architecture initiatives

Qualifications

  • Demonstrated knowledge of finance and accounting principles and practices, and proven experience in managing finance operation style teams.

  • Proven experience in a data architecture management or similar role with a focus on financial data modelling and design.

  • Strong capability in building and operationalising complex Power BI reporting estates and associated support functions.

  • Strong proficiency in SQL, database design, technology stack and data modelling concepts.

  • Familiarity with data modelling tools and methodologies, dimensional modelling, and normalisation

  • Strong attention to detail and commitment to data accuracy and consistency.

  • Excellent problem-solving skills and the ability to work in a collaborative, team-oriented environment.

  • Effective communication skills to engage with both technical and non-technical stakeholders.

  • Knowledge of financial data sources, accounting principles, financial reporting standards, and regulations.

  • Familiarity with TM1 or Alteryx applications would be ideal, but full training will be provided.

Skills and Behaviours Required

  • Excellent leadership and communication skills

  • Strong project management and organisational skills

  • Good analytical ability to solve complex data architecture challenges

  • Attention to detail, and understanding of the importance of commercial constraints

  • A highly logical approach to problem solving

Additional Information

  • 24 days annual leave
  • 4 volunteering days annually
  • Day off for your birthday
  • Pension contributions
  • Medical insurance for self and dependants; life cover and personal accident cover for self
  • Seasonal social and charitable events
  • Training and development
  • Blended style and flexi working time
  • Right tools for remote working
At Taylor & Francis we care about our colleagues, promoting work-life balance, wellbeing and flexible working. We believe that the skills and experience you bring to Taylor & Francis are invaluable. We want you to have the opportunity to develop your abilities, and to innovate and develop in areas which you are passionate about.

You must have the right to work and live in the India  
This role is based at our India - Bangalore office or may be remote

We would like to thank all applicants in advance and regret that only shortlisted candidates will be notified.

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