Pflegefachkraft providing basic and treatment care for residents in a secured dementia area. Implementing care standards and supporting daily activities in the community.
About the role
- Director Data Operations responsible for managing data workflows and leading a high-performing team in Vadodara, India. Focusing on operational excellence and innovation in data processes.
Responsibilities
- Lead the delivery of operational data workflows across the Ad/Creative Lifecycle including data extraction, transformation, and creation for classification and attribution, and data quality management.
- Manage onshore and offshore teams to meet or exceed SLAs, quality benchmarks, and cycle time expectations.
- Ensure consistency, traceability, and visibility across all workstreams, with robust issue resolution and escalation handling.
- Provide day-to-day leadership, coaching, and mentorship to team members, ensuring clear goals, accountability, and career development.
- Build team capabilities by identifying training needs, encouraging upskilling, and fostering cross-functional collaboration.
- Inspire, motivate, and align the team around organizational goals and vision.
- Drive a positive and inclusive team culture, ensuring strong communication and engagement across levels.
- Oversee daily engagement with third-party vendors executing defined workflows.
- Ensure clarity in what is sent to vendors, how it’s measured, and how results are validated.
- Analyze vendor workload against invoices; identify capacity gaps, inefficiencies, or underperformance.
- Ensure that internal expertise is retained to reduce vendor risk and maintain knowledge resilience.
- Actively identify and recommend new tools, automation, and AI applications that streamline operational workflows.
- Collaborate with the Data Governance and Operational Excellence Leads and Program Management to scope and pilot transformation initiatives.
- Serve as a voice for operational feasibility in transformation projects; contribute to business case development, impact analysis, and implementation.
- Partner with the Operational Excellence Lead and Program Management to reimagine and implement a future-state operating model that replaces manual data entry with AI-supported workflows and intelligent automation.
- Identify and prioritize operational use cases where AI/ML can reduce manual effort, improve quality, and accelerate throughput.
- Lead readiness efforts (training, process change, tooling) to shift operational team focus from task execution to AI validation, supervision, and improvement feedback loops.
- Own and maintain documentation of Standard Operating Procedures (SOPs) for all managed workstreams.
- Ensure documentation aligns to frameworks defined by Data Governance and Operational Excellence and includes productivity and quality benchmarks.
- Enforce regular audit cycles and documentation reviews for all internal and vendor-supported work.
- Monitor key performance indicators (KPIs) and service metrics to evaluate performance across all delivery teams.
- Support transparency through dashboarding, root cause analysis, and performance reviews.
- Ensure SLA breaches and quality issues are captured, investigated, and addressed with documented actions.
- Contribute to the development of an adaptive team structure that supports AI-augmented workflows, including re-skilling of existing staff and evolving roles.
- Define requirements for new talent profiles (e.g., AI validator, data quality analyst) and coordinate with HR and leadership on workforce planning.
- Partner on change management initiatives that support cultural and behavioral shifts across global data operations teams.
- Partner with Data Governance to ensure alignment to access, quality, and compliance standards.
- Collaborate with the Operational Excellence Lead to support the development and adoption of operational playbooks, automation roadmaps, and improvement plans.
- Participate in OKR definition and tracking with Program Management for operational initiatives.
- Work with Product, Commercial, and Customer Success teams to understand user pain points and business objectives—ensuring operational delivery strategies are designed to meet evolving customer expectations and support data-enabled innovation.
Requirements
- 8–10 years of experience in data operations, shared services, or digital/data delivery roles
- Proven experience in building and leading teams, with a track record of developing talent and elevating team performance.
- Strong interpersonal, coaching, and conflict-resolution skills.
- Ability to create clarity, set direction, and motivate teams in fast-paced environments.
- Experience leading operational transformations involving AI/ML, RPA, or intelligent automation, especially in digital/data-heavy environments.
- Experience managing hybrid teams (onshore/offshore/vendor) in high-volume environments
- Strong process thinking and experience with automation, RPA, or AI/ML initiatives
- Demonstrated experience creating and maintaining SOPs, dashboards, or operational playbooks
- Familiarity with data governance principles, data handling compliance, and audit readiness
- Comfortable working across business and technical teams to drive results
- Tools: Airtable, Smartsheet, Jira, Power BI/Tableau, data automation platforms (preferred)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Betriebsleiter responsible for organizing operations and leading the team at HANS IM GLÜCK's Münster location. Motivating staff and managing kitchen, bar, and service areas.
Operations Supervisor responsible for efficient branch operations at Univar Solutions. Leading compliance, safety, and employee engagement efforts in Tampa, FL.
Director overseeing ticketing operations for Victoria’s public transport network. Leading teams and ensuring stable operations of ticketing products and services throughout a major transition phase.
Regional Director of HVAC Operations responsible for leading service business growth and maintaining core values in multiple offices. Ensuring compliance, maximum profitability, and strategic growth in the region.
Gerontopsychiatrische Fachkraft providing individualized care for elderly residents. Engaging with team to ensure quality standards and supporting residents' diverse needs.
Gerontopsychiatrische Fachkraft caring for residents with psychiatric needs at a leading German care provider. Involves personalized care, documentation, and team collaboration.
Gerontopsychiatrische Fachkraft providing individualized care and treatment in a leading German care home. Collaborating with the team to ensure high - quality care and support for residents' needs.
Gerontopsychiatrische Fachkraft for major nursing home operator in Germany. Focused on individual care and treatment for residents in the dementia area.
Gerontopsychiatrische Fachkraft role involved in gerontopsychiatric care at a leading nursing home in Germany. Focusing on individual care and quality of life for residents.