Head of Data - FinTech

As the Head of Data at FundPark, you'll take charge of developing and executing our data strategy, implementing robust data governance, and overseeing our data platforms. You'll also lead our AI R&D efforts, partnering with different teams to harness data for actionable insights and innovative solutions that drive our business forward.

To be considered for the Head of Data position at FundPark, you should have a degree in Data Science, Computer Science, or a related field. Additionally, you should possess 12+ years of experience in data management, including at least 5+ years in leadership roles, ideally within internet, lending, or fintech companies.

In the Head of Data role at FundPark, you will lead AI research and development initiatives focused on lending and risk management. You'll identify use cases for AI, prototype innovative solutions, and deploy AI models into production, fostering an AI-centric culture within the organization.

Candidates for the Head of Data at FundPark should have expertise in data architecture, big data technologies like Hadoop and Spark, as well as AI/ML frameworks and cloud platforms such as AWS, Azure, GCP, and AliCloud. Proficiency in agile methodologies and experience managing data operations are also essential.

As the Head of Data at FundPark, you will have ample opportunities for career growth. You will be part of a dynamic team led by visionary industry leaders and participate in an Employee Stock Option Plan, allowing you to share in the company’s success. The role offers the chance to develop your skills in a fast-paced environment while making a significant impact on e-Commerce SMEs.

When developing a data strategy, I prioritize aligning the strategy with overall business goals. I start by assessing current data capabilities and identifying gaps. Collaborating with stakeholders, I establish clear objectives and frameworks for governance, security, and compliance, ensuring that the data remains reliable and actionable.

To ensure data quality and compliance in a FinTech environment, I implement robust data governance frameworks and establish clear policies for data management. Regular audits, automated checks, and cross-functional collaboration play critical roles in maintaining compliance with regulations while delivering high-quality data.

In my previous roles, I have worked extensively with big data technologies such as Hadoop and Spark. I have overseen data warehousing, ETL processes, and the optimization of cloud platforms, ensuring that our data infrastructure supports scalability and efficiency, enabling rapid access to insights.

Promoting an AI-first mindset involves both training and practical implementation. I encourage team members to participate in workshops and collaborative projects that showcase the potential of AI. Open communication and recognition of AI successes can motivate teams to embrace this approach in their daily workflows.

A significant project I led involved collaborating with the Sales and Product teams to translate their needs into technical requirements. By facilitating workshops and discussions, I was able to design a roadmap that aligned with our strategic objectives, ultimately resulting in timely and effective data solutions that drove business outcomes.

I adopt a collaborative and empowering leadership style. I believe in fostering an inclusive culture where team members feel valued and encouraged to innovate. By implementing agile methodologies, I prioritize transparency and adaptability, enabling the team to respond swiftly to changes and deliver results effectively.

Handling stakeholder expectations involves clear communication, regular updates, and managing timelines effectively. I prioritize understanding stakeholders' goals and concerns and translate their needs into actionable plans, ensuring everyone is on the same page as we execute our projects.

In my previous roles, I have implemented cloud-based data platforms across diverse environments, optimizing their performance for all users. I focus on scalability and reliability, leveraging cloud services to enhance data management capabilities and improve accessibility for cross-functional teams.

I stay current with data technology trends by actively participating in industry conferences, subscribing to relevant publications, and engaging with professional communities online. I also encourage my team members to continually educate themselves and share insights, fostering a culture of learning and innovation.

For global data governance, my strategies include developing standardized policies that cater to local regulatory requirements, fostering a culture of compliance across teams, and conducting regular audits to assess the effectiveness of our governance frameworks. Balancing global coherence with local adaptability is key.