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Data Ops Manager Jobs in Indiana (NOW HIRING)

Support new business pitches by pulling platform data, building out channel recommendations, and preparing media assets for prospect conversations. * Training sessions with the Sr. Ad Ops Manager and ...

Support new business pitches by pulling platform data, building out channel recommendations, and preparing media assets for prospect conversations. * Training sessions with the Sr. Ad Ops Manager and ...

The Sr. Manager, Business Ops / Finance partners closely withcrossfunctionaland senior leaders to ... Strong analytical andproblemsolvingskills with the ability to translate data into actionable ...

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Administrative Assistant

Indianapolis, IN · On-site

$17.25 - $23.25/hr

Perform data entry and maintain databases as required. * Answer and manage incoming phone calls in ... OPS is here to help you take the next step in your career journey.

Extract DR data from the tool and update DR tracking spreadsheets 5X a week * Use the DR data to ... Lead our weekly operating review and daily management meetings using the data from the first 2 ...

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Data Ops Manager information

What are some common challenges faced by Data Ops Managers, and how can they be addressed?

Data Ops Managers often encounter challenges such as coordinating across multiple teams, ensuring data quality, and managing fast-evolving data pipelines. Success in this role requires strong communication skills to align stakeholders, robust processes for monitoring data workflows, and the ability to quickly troubleshoot issues when data delivery is disrupted. Adopting automation tools and fostering a culture of continuous improvement can help Data Ops Managers maintain reliable, scalable systems while supporting organizational data needs.

What does a data operations manager do?

A data operations manager oversees the processes and systems that manage an organization’s data, ensuring data quality, security, and accessibility. They coordinate data workflows, implement data governance policies, and often work with tools like data pipelines and databases to support analytics and decision-making.

What are Data Ops Managers?

Data Ops Managers are professionals responsible for overseeing the processes, tools, and teams involved in managing and optimizing data operations within an organization. They ensure the smooth flow, quality, and accessibility of data across various platforms and departments. Their role often includes automating data pipelines, implementing data governance practices, and collaborating with data engineers, analysts, and business stakeholders to support data-driven decision making.

What are the key skills and qualifications needed to thrive as a Data Ops Manager, and why are they important?

To excel as a Data Ops Manager, you need a deep understanding of data management, analytics workflows, and process automation, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (AWS, Azure), and orchestration systems such as Apache Airflow is typically required, along with certifications in data management or cloud services. Strong leadership, problem-solving, and communication skills help coordinate cross-functional teams and drive data initiatives. These competencies are crucial for ensuring data reliability, optimizing data pipelines, and enabling data-driven decision-making across the organization.

What job makes $10,000 a month without a degree?

A Data Ops Manager can potentially earn $10,000 or more per month through experience and expertise in data management, automation, and cloud platforms. High-paying roles in data management often require strong technical skills, certifications, and experience rather than formal degrees. Other jobs like sales, real estate, or entrepreneurship can also reach this income level without a degree, depending on performance and opportunities.

What jobs make $1,000,000 a year?

In the field of Data Operations, senior roles such as Director of Data Operations or Chief Data Officer can reach or exceed $1,000,000 annually, especially in large organizations or with significant bonuses and stock options. These positions typically require extensive experience, advanced skills in data management, and leadership capabilities. Compensation varies widely based on company size, industry, and geographic location.

What jobs pay 500,000 a year in the US?

High-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. In the tech industry, roles like Data Ops Managers with extensive experience, leadership responsibilities, and advanced skills in data management and automation may reach or exceed this level, especially with bonuses and stock options.

What is the difference between Data Ops Manager vs Data Engineer?

AspectData Ops ManagerData Engineer
Primary FocusOversees data operations, workflows, and process optimizationBuilds, constructs, and maintains data pipelines and infrastructure
Required SkillsData management, process improvement, team coordinationProgramming, database systems, ETL development
CertificationsData management, cloud certifications often preferredSQL, cloud platform certifications, programming languages
Work EnvironmentCollaborates with data teams, operations, and business unitsWorks closely with data scientists, analysts, and developers

While both roles involve working with data, the Data Ops Manager focuses on managing data workflows and operational efficiency, whereas the Data Engineer concentrates on building and maintaining data infrastructure. Understanding these differences helps in choosing the right career path or hiring the appropriate professional for your data needs.

What are popular job titles related to Data Ops Manager jobs in Indiana? For Data Ops Manager jobs in Indiana, the most frequently searched job titles are:
ES Data Ops Strategist

ES Data Ops Strategist

Salesforce, Inc.

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Salesforce rating

8.0

Company rating: 8.0 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

103rd of 192 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Employee Success
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Position Summary
The ES Office of Data (ES OOD) is the strategic data foundation for Salesforce's Global Employee Success (ES) Operations - championing trusted employee data, unified governance, HRIS security, and AI-ready data foundations that power seamless, intelligent hire-to-retire experiences.
We are seeking a self-driven ES Data Ops Engineer & Strategist within the ES Office of Data - to establish and scale the data foundations specifically for our HR Operations team. This is a unique role designed for a data professional who loves building foundational structures, automating quality checks, and driving operational excellence.
Key Responsibilities
* Reimagine, design, and build the data models needed to track next-generation HR service delivery, owning backend pipelines for operational KPIs such as case management lifecycles, CSAT, escalation rates, severity distributions, and Cost to Serve
* Design and implement local data models, schemas, and staging areas tailored for agile HR Operations reporting and insights
* Develop and maintain operational data pipelines using clean, production-grade SQL and Python to apply HR business logic and transform raw data into action-ready datasets
* Build and support secure data connections, webhooks, and APIs to sync operational data across internal HR platforms and tools (e.g., ticketing systems, HRIS)
* Transition the team from reactive manual auditing to proactive, automated continuous monitoring - designing and deploying data quality scripts and scheduled test suites that instantly flag anomalies, missing fields, or logic violations in incoming HR operational data
* Maintain, monitor, and optimize HR data pipelines and workflows - proactively identifying bottlenecks, automating manual steps, and establishing rigorous SLAs for data freshness and uptime
* Enforce strict data security boundaries, ensuring localized operational data views comply with global PII regulations, data masking standards, and confidentiality protocols
* Partner closely with the core HR Data Product Engineering team to align with broader corporate data architectures, ensure governance compliance, and smoothly ingest upstream core datasets
* Act as the technical bridge across the ES Office of Data pillars-collaborating with Data Governance to embed security rules into pipelines, engineering the high-performance upstream data layers that fuel HRIS Reporting, and translating Data Program Strategy and Ops roadmaps into automated technical solutions.
Required Skills & Experience
* 4-6 years of experience in data operations, data engineering, or a highly technical business intelligence role
* Experience modeling complex operational workflows (e.g., ticketing, customer support, case management) into structured analytics tables
* Proven experience building data validation, monitoring, and automated testing setups (e.g., dbt tests or custom Python validation scripts)
* Strong SQL and Python proficiency for automated workflows and data transformations
* Solid understanding of data schemas, dimensional modeling, and structuring data for high-performance operational reporting
* Familiarity with cloud data platforms (e.g., Snowflake, BigQuery), orchestration tools (e.g., Airflow), and integrating data via REST APIs
* Working knowledge of data privacy standards and PII handling practices (e.g., data masking, access controls)
Unleash Your Potential
When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

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