Ascensus - Director - Process Excellence (15-19 yrs)

About Ascensus (India) :

We have great growth strategy and looking forward to development and achieve organization objectives. We are setting an Operations in Hyderabad and looking at growth prospects. We have loans and distributions, Compliance (DC) and Defined Benefit Process in India currently. We are also looking to grow in other departments as well.

Location : HYD

Experience : 15+ years in process improvement, automation, AI/ML implementation, and driving organizational change.

Reports To: Head of Operations

Role Overview:

- We are seeking a visionary Director of Process Excellence to lead and drive our organization's transformation journey.

- This leadership role focuses on leveraging cutting-edge technologies like AI/ML, next generation automation tools, and process mining capabilities to enhance operational efficiency.

- The ideal candidate will have a transformative mindset, strategic vision, and the ability to ignite a culture of process excellence while serving as a change agent for innovation and technology adoption.

Key Responsibilities:

Strategic Leadership:

- Define and execute the process excellence strategy aligned with organizational goals. Identify, prioritize, and implement initiatives leveraging AI/ML and next-generation automation tools.

- Serve as a strategic advisor to senior leadership on process improvement and transformation opportunities.

- Lead large-scale process transformation initiatives to achieve measurable business outcomes.

Process Excellence & Transformation:

- Champion a culture of process excellence across the organization.

- Drive continuous improvement initiatives to enhance efficiency, productivity, and quality.

- Develop and deploy frameworks for process mining and optimization using advanced tools and methodologies.

- Lead cross-functional teams to redesign processes for scalability and efficiency.

AI/ML & Next-Gen Automation:

- Apply AI/ML capabilities to uncover actionable insights and optimize business processes.

- Drive adoption of automation tools, ensuring seamless integration and measurable ROI.

- Collaborate with technology teams to evaluate, implement, and scale next-gen solutions.

- Stay abreast of emerging trends in automation, AI, and digital tools to future-proof processes.

Change Management & Culture Building:

- Act as a change agent to foster adoption of AI/ML and other advanced technologies.

- Build and mentor high-performing teams, fostering a culture of innovation and accountability.

About Ascensus:

- We are the largest independent recordkeeping services partner, third-party administrator, and government and health savings facilitator in the United States. Were also one of the savings plan industrys leading providers of outsourced services.

- Our combination of purpose-built technology and deep expertise enables our partners to deliver industry-leading solutions that help people save for what matters: retirement, education, and healthcare. We support qualified retirement plans and Individual Retirement Accounts (IRAs) through partnerships with top financial institutions, banks, credit unions, and advisors. Develop and execute change management strategies to support transformation goals. Communicate process excellence objectives clearly to stakeholders, ensuring alignment and buy-in.

Qualifications & Skills:

Education:

- Bachelors degree in Business, Engineering, Computer Science, or a related field (Masters or MBA preferred).

Experience:

- Minimum 15 years of experience in process improvement, automation, AI/ML, and organizational transformation.

- Proven track record of leading large-scale process transformation initiatives.

- Hands-on experience in process mining tools, AI/ML models, and next-gen automation technologies.

- Strong experience in managing cross-functional teams and driving complex projects.

Skills:

- Strategic and transformative mindset with the ability to align processes to business goals.

- Expertise in process mining, Lean Six Sigma, and other process optimization methodologies.

- In-depth knowledge of AI/ML applications and emerging technology trends.

- Exceptional leadership, communication, and stakeholder management skills.

- Strong analytical and problem-solving capabilities with a results-driven approach.