Senior Enterprise Data Specialist

Job description

At Franklin Templeton, we believe success is built through powerful partnerships. As a forward‑thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting‑edge strategies and deep insights to unlock opportunities for long‑term wealth creation. Our talented, global teams bring expertise that is both broad and unique. From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success.

About the Department

The Data Quality team within Franklin Templeton’s Enterprise Data Office ensures enterprise data is trusted, governed, and fit for business and regulatory needs. The team partners with Data Owners, Data Stewards, and engineering teams to establish data quality standards, monitor data health, remediate issues, and drive continuous improvement across critical datasets. By embedding quality controls into governance processes and enterprise data flows, the team enables reliable analytics, regulatory reporting, operational efficiency, and effective decision-making.

Team members gain the opportunity to influence enterprise data strategy, modernize governance capabilities, and help scale AI-enabled data quality solutions across the organization. ​ How You Will Add Value?

Core Responsibilities

You will drive adoption of the enterprise Data Quality Management (DQM) framework. You will onboard critical datasets into enterprise quality processes. You will design and implement data quality controls and validation rules. You will embed quality checks into data pipelines and ingestion layers. You will build scalable, reusable data quality solutions. You will define and monitor KPIs, thresholds, and scorecards. You will develop dashboards, reports, and quality insights for stakeholders.

Team & Collaboration

You will partner with data owners, stewards, and engineering teams. You will coordinate remediation efforts across data producers and consumers. You will perform root cause analysis and implement sustainable solutions. You will track remediation progress against agreed service levels. You will support governance forums and stakeholder engagement activities. You will collaborate with business, technology, and governance teams.

You will support enterprise transformation, analytics, and regulatory initiatives.

Strategic Responsibilities

You will leverage Artificial Intelligence (AI) capabilities within data quality workflows. You will design prompt frameworks for AI-enabled quality solutions. You will apply AI to automate analysis, troubleshooting, and documentation. You will explore emerging agentic AI and machine learning capabilities. You will promote adoption of enterprise Data Quality Management practices. You will create enablement materials, playbooks, and guidance.

You will support enterprise data strategy and governance objectives. You will help scale standardized, enterprise-wide quality capabilities. What Will Help You Be Successful in This Role?

Experience

8–10 years of professional experience, including 5+ years in Data Governance and Data Quality. Experience implementing enterprise data quality frameworks and controls. Experience improving data quality through measurable KPIs and governance practices. Experience with data profiling, monitoring, and remediation processes. Experience working in Agile delivery environments. Experience collaborating with cross-functional stakeholders.

Experience applying AI concepts to quality improvement and automation initiatives.

Education & Certifications

Bachelor’s or master’s degree in computer science, Engineering, or a related discipline. Certified Data Management Professional (CDMP) certification preferred.

Technical Skills

Python development and automation. Power BI and data visualization tools. Advanced SQL and relational database expertise. Snowflake, Databricks, Oracle, Redshift, or similar platforms. Amazon Web Services (AWS) services including S3, ECS, and EKS. GitLab, DevOps practices, and CI/CD pipelines. Data quality frameworks, governance controls, and enterprise data management. Cloud platforms, data pipelines, and distributed data environments.

Soft Skills

Strong analytical and problem-solving capabilities. Excellent communication and presentation skills. Strong stakeholder management and collaboration abilities. Ability to influence governance adoption and business alignment. Strategic thinking and continuous improvement mindset. Strong accountability and execution focus. AI-first and innovation-oriented approach. Work Shift Timings - 2:00 PM - 11:00 PM IST At Franklin Templeton, we believe your benefits should support your life, your goals, and your future.

That’s why we offer a comprehensive Total Rewards package designed to help you thrive both personally and professionally.

Highlights of our benefits include: Professional development growth opportunities through in-house classes and over 150 Web-based training courses An educational assistance program to financially help employees seeking continuing education Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents) Life insurance for protection of employees’ families Personal accident insurance for protection of employees and their families Personal loan assistance Employee Stock Investment Plan (ESIP) 12 weeks Paternity leave Onsite fitness center, recreation center, and cafeteria Transport facility Child day care facility for women employees Cricket grounds and gymnasium Library Health Center with doctor availability HDFC ATM on the campus Franklin Templeton is an Equal Opportunity Employer.

We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.