Posted:
2/24/2026, 2:48:30 PM
Location(s):
Hyderabad, Telangana, India ⋅ Telangana, India
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
Data & Analytics
At Franklin Templeton, we’re driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients’ achievements.
Come join us in delivering better outcomes for our clients around the world!
About The Department:
The Director, Distribution Data Management & Governance leads a scaled, blended team responsible for operational excellence, data quality, and governance across the distribution data ecosystem. This is a people-leader role (~70%) with strong techno-functional expectations (~30%): the Director will stay close to the work through hands-on problem solving, data analysis, and solution oversight to accelerate outcomes and increase trust in data. The role partners with business stakeholders and technology teams to deliver trusted data products, improve time-to-value, and enable analytics, reporting, CRM, and strategic initiatives.
Core Responsibilities:
Lead a team of about 25 resources (FTEs + Contractors); set priorities, operating rhythms, performance management, and coaching.
Establish the team as the primary “front door” for business data needs, including intake, triage, prioritization, and delivery governance for distribution data requests and strategic initiatives.
Establish and continuously improve data governance and data quality controls (standards, rules, KPIs, issue management).
Drive end-to-end delivery of data products and services, ensuring accuracy, timeliness, lineage, and documentation.
Partner with business and technology leaders to translate objectives into clear requirements, roadmaps, and execution plans.
Implement scalable processes for incident/escalation management, root-cause analysis, and remediation to prevent recurrence.
Oversee vendor/partner engagement (SOWs, delivery management, outcomes/KPI measurement, and value realization).
Promote automation and modernization (workflow automation, data validation, observability) to reduce manual effort and risk.
Provide executive-ready communication on progress, risks, dependencies, and outcomes; ensure transparency and alignment.
Drive adoption and promotion of AI/ML (including GenAI where appropriate) to enhance distribution data management—e.g., automated data cleansing, anomaly detection, intelligent matching/mapping, and self-service insights—with strong controls, governance, and measurable outcomes.
Maintain hands-on engagement (approx. 30%): perform deep-dive investigations, validate data logic/controls, review mappings and DQ rules, and partner with engineering/architecture on solution design and rollout.
Required Qualifications:
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related discipline.
15+ years of experience in data management, data governance, analytics enablement, and/or enterprise data delivery.
7+ years leading teams and large cross-functional programs (including blended FTE/contractor delivery models).
Proven experience building and operating data quality frameworks (DQ rules, monitoring, issue workflows, and KPIs).
Strong stakeholder management skills; ability to influence across senior business and technology leadership.
Excellent written and verbal communication; experience producing executive-level updates and operating artifacts.
Working knowledge of Master Data Management (MDM) concepts and enterprise data structures; strong SQL/Excel proficiency.
Experience leading AI-enabled data initiatives (e.g., data quality automation, anomaly detection, predictive matching, or workflow automation) from idea to adoption, including change management, risk/controls, and KPI tracking.
Demonstrated hands-on capability: ability to personally query/analyze data (SQL), validate business logic, debug data issues end-to-end, and translate findings into actionable fixes and durable controls.
Preferred Qualifications:
Experience with AI/GenAI enablement in data organizations (use case intake, model lifecycle partnership, governance/controls, prompt/workflow design, and adoption measurement) is a plus.
Financial services / asset management distribution data domain experience (sales, clients/accounts, products, CRM).
Experience with modern data platforms and integration patterns (cloud data warehouses/lakes, ETL/ELT, APIs).
Experience implementing data observability, automation, and controls in regulated environments.
Hands-on experience with data analysis and troubleshooting (e.g., SQL-based investigation, root-cause analysis, and data reconciliation) is a plus.
Work Shift Timings: 2:00 PM – 11:00 PM IST
Experience our welcoming culture and reach your professional and personal potential!
Our culture is shaped by our diverse global workforce and strongly held core values. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.
By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life’s adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered.
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
Learn more about the wide range of benefits we offer at Franklin Templeton
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.
Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to [email protected]. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.
Website: https://leggmason.com/
Headquarter Location: Baltimore, Maryland, United States
Employee Count: 1-10
Year Founded: 1899
Industries: Asset Management ⋅ Finance ⋅ Financial Services ⋅ Funding Platform ⋅ Insurance